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Nesreen K. Ahmed

Nesreen Kamel Ahmed

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Books and Theses

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2015
[b1]
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Nesreen Kamel Ahmed:
Scaling Up Network Analysis and Mining: Statistical Sampling, Estimation, and Pattern Discovery. Purdue University, USA, 2015

Journal Articles

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2024
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Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. 5(5): 2011-2025 (2024)
[j20]
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April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. ACM Trans. Knowl. Discov. Data 18(6): 138:1-138:23 (2024)
2022
[j19]
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Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry:
Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. 34(5): 2401-2415 (2022)
[j18]
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Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. ACM Trans. Web 16(3): 11:1-11:47 (2022)
2021
[j17]
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Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep graph similarity learning: a survey. Data Min. Knowl. Discov. 35(3): 688-725 (2021)
[j16]
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John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Dynamic Node Embeddings From Edge Streams. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 931-946 (2021)
[j15]
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Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data 15(1): 9:1-9:43 (2021)
[j14]
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Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Online Sampling of Temporal Networks. ACM Trans. Knowl. Discov. Data 15(4): 59:1-59:27 (2021)
2020
[j13]
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Ryan A. Rossi, Nesreen K. Ahmed:
Correction to: Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 10(1): 19 (2020)
[j12]
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Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. ACM Trans. Knowl. Discov. Data 14(5): 63:1-63:37 (2020)
[j11]
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Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 32(3): 438-452 (2020)
2019
[j10]
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Ryan A. Rossi, Nesreen K. Ahmed:
Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 9(1): 51:1-51:13 (2019)
[j9]
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John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. ACM Trans. Knowl. Discov. Data 13(6): 62:1-62:25 (2019)
[j8]
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Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Estimation of Graphlet Counts in Massive Networks. IEEE Trans. Neural Networks Learn. Syst. 30(1): 44-57 (2019)
2018
[j7]
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Ryan A. Rossi, Nesreen K. Ahmed, Rong Zhou, Hoda Eldardiry:
Interactive Visual Graph Mining and Learning. ACM Trans. Intell. Syst. Technol. 9(5): 59:1-59:25 (2018)
2017
[j6]
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Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield, Theodore L. Willke:
Graphlet decomposition: framework, algorithms, and applications. Knowl. Inf. Syst. 50(3): 689-722 (2017)
[j5]
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Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. Proc. VLDB Endow. 10(11): 1430-1441 (2017)
2015
[j4]
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Ryan A. Rossi, Nesreen K. Ahmed:
An Interactive Data Repository with Visual Analytics. SIGKDD Explor. 17(2): 37-41 (2015)
[j3]
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Ryan A. Rossi, Nesreen K. Ahmed:
Role Discovery in Networks. IEEE Trans. Knowl. Data Eng. 27(4): 1112-1131 (2015)
2014
[j2]
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Ryan A. Rossi, Nesreen K. Ahmed:
Coloring large complex networks. Soc. Netw. Anal. Min. 4(1): 228 (2014)
2013
[j1]
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Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Network Sampling: From Static to Streaming Graphs. ACM Trans. Knowl. Discov. Data 8(2): 7:1-7:56 (2013)

Conference and Workshop Papers

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2024
[c57]
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Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari:
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. Euro-Par (1) 2024: 121-134
[c56]
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Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed:
Forward Learning of Graph Neural Networks. ICLR 2024
[c55]
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Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Editing Partially Observable Networks via Graph Diffusion Models. ICML 2024
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Nesreen K. Ahmed, Manoj Kumar:
GrAPL 2024 Preface and Committees. IPDPS (Workshops) 2024: 447-448
[c53]
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Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen K. Ahmed:
The 5th International Workshop on Machine Learning on Graphs (MLoG). WSDM 2024: 1210-1211
2023
[c52]
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Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Efficient Estimation of Local Causal Effects in Graphs via Neighborhood Pooling. IEEE Big Data 2023: 542-547
[c51]
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Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. ICLR 2023
[c50]
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Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
MetaGL: Evaluation-Free Selection of Graph Learning Models via Meta-Learning. ICLR 2023
[c49]
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Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Augmenting Recurrent Graph Neural Networks with a Cache. KDD 2023: 1608-1619
[c48]
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Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari:
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. MLSys 2023
[c47]
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Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. NeurIPS 2023
[c46]
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Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari:
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. NeurIPS 2023
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Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Yeuk-Yin Chan, Eunyee Koh, Nesreen K. Ahmed:
A ML-based Approach for HTML-based Style Recommendation. WWW (Companion Volume) 2023: 9-13
[c44]
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Ryan A. Rossi, Nesreen K. Ahmed, Namyong Park:
On Graph Time-Series Representations for Temporal Networks. WWW (Companion Volume) 2023: 14-18
2022
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Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CIKM 2022: 3694-3704
[c42]
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Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
One-Pass Algorithms for MAP Inference of Nonsymmetric Determinantal Point Processes. ICML 2022: 18463-18482
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Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis:
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. ECML/PKDD (2) 2022: 86-103
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Daniel Cummings, Ashrita Brahmaroutu, Marcel Nassar, Nesreen K. Ahmed:
Technology Growth Ranking Using Temporal Graph Representation Learning. WWW (Companion Volume) 2022: 290-293
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Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW 2022: 1115-1126
2021
[c38]
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Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. AAAI 2021: 11168-11176
[c37]
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Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed:
Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData 2021: 1858-1866
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Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM 2021: 4085-4093
[c35]
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Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys 2021
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Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: scalable distributed training for large-scale graph neural networks. SC 2021: 76
2020
[c33]
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Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO 2020: 242-255
[c32]
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Nesreen K. Ahmed, Nick Duffield:
Adaptive Shrinkage Estimation for Streaming Graphs. NeurIPS 2020
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John Boaz Lee, Xiangnan Kong, Constance M. Moore, Nesreen K. Ahmed:
Deep Parametric Model for Discovering Group-cohesive Functional Brain Regions. SDM 2020: 631-639
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori:
A Structural Graph Representation Learning Framework. WSDM 2020: 483-491
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) 2020: 10-12
[c28]
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Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed:
Fast and Accurate Estimation of Typed Graphlets. WWW (Companion Volume) 2020: 32-34
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Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed:
From Closing Triangles to Closing Higher-Order Motifs. WWW (Companion Volume) 2020: 42-43
2019
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Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Deep Graph Similarity Learning for Brain Data Analysis. CIKM 2019: 2743-2751
2018
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Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Dynamic Network Embeddings: From Random Walks to Temporal Random Walks. IEEE BigData 2018: 1085-1092
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Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed, Hoda Eldardiry:
Relational Similarity Machines (RSM): A Similarity-based Learning Framework for Graphs. IEEE BigData 2018: 1807-1816
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Interactive Higher-Order Network Analysis. ICDM Workshops 2018: 1441-1446
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Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia:
Sampling for Approximate Bipartite Network Projection. IJCAI 2018: 3286-3292
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Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. IJCNN 2018: 1-8
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Nesreen K. Ahmed:
GraML 2018 Keynote. IPDPS Workshops 2018: 1168
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Higher-order Network Representation Learning. WWW (Companion Volume) 2018: 3-4
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Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Network Representation Learning. WWW (Companion Volume) 2018: 953-960
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Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Continuous-Time Dynamic Network Embeddings. WWW (Companion Volume) 2018: 969-976
2017
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Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
A Higher-Order Latent Space Network Model. AAAI Workshops 2017
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Vachik S. Dave, Nesreen K. Ahmed, Mohammad Al Hasan:
E-CLoG: Counting edge-centric local graphlets. IEEE BigData 2017: 586-595
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Nick G. Duffield, Yunhong Xu, Liangzhen Xia, Nesreen K. Ahmed, Minlan Yu:
Stream Aggregation Through Order Sampling. CIKM 2017: 909-918
[c13]
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Kayhan Özcimder, Biswadip Dey, Sebastian Musslick, Giovanni Petri, Nesreen K. Ahmed, Theodore L. Willke, Jonathan D. Cohen:
A Formal Approach to Modeling the Cost of Cognitive Control. CogSci 2017
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Shaden Smith, Xing Liu, Nesreen K. Ahmed, Ancy Sarah Tom, Fabrizio Petrini, George Karypis:
Truss decomposition on shared-memory parallel systems. HPEC 2017: 1-6
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Ancy Sarah Tom, Narayanan Sundaram, Nesreen K. Ahmed, Shaden Smith, Stijn Eyerman, Midhunchandra Kodiyath, Ibrahim Hur, Fabrizio Petrini, George Karypis:
Exploring optimizations on shared-memory platforms for parallel triangle counting algorithms. HPEC 2017: 1-7
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Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Edge Role Discovery via Higher-Order Structures. PAKDD (1) 2017: 291-303
2016
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Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Estimation of local subgraph counts. IEEE BigData 2016: 586-595
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Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Exact and Estimation of Local Edge-centric Graphlet Counts. BigMine 2016: 1-17
2015
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Ryan A. Rossi, Nesreen K. Ahmed:
The Network Data Repository with Interactive Graph Analytics and Visualization. AAAI 2015: 4292-4293
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Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Efficient Graphlet Counting for Large Networks. ICDM 2015: 1-10
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Nesreen Kamel Ahmed, Ryan Anthony Rossi:
Interactive Visual Graph Analytics on the Web. ICWSM 2015: 566-569
2014
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Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella:
Graph sample and hold: a framework for big-graph analytics. KDD 2014: 1446-1455
2012
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Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Network Sampling Designs for Relational Classification. ICWSM 2012
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Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Space-efficient sampling from social activity streams. BigMine 2012: 53-60
2010
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Nesreen K. Ahmed, Fredrick J. Berchmans, Jennifer Neville, Ramana Rao Kompella:
Time-based sampling of social network activity graphs. MLG@KDD 2010: 1-9

Editorship

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2018
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Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen K. Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey S. Saltz:
IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018. IEEE 2018, ISBN 978-1-5386-5035-6 [contents]

Informal and Other Publications

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2024
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Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Ali Jannesari:
OMPGPT: A Generative Pre-trained Transformer Model for OpenMP. CoRR abs/2401.16445 (2024)
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Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari:
The Landscape and Challenges of HPC Research and LLMs. CoRR abs/2402.02018 (2024)
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Nadav Schneider, Niranjan Hasabnis, Vy A. Vo, Tal Kadosh, Neva Krien, Mihai Capota, Abdul Wasay, Guy Tamir, Ted Willke, Nesreen K. Ahmed, Yuval Pinter, Timothy G. Mattson, Gal Oren:
MPIrigen: MPI Code Generation through Domain-Specific Language Models. CoRR abs/2402.09126 (2024)
[i69]
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Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun:
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. CoRR abs/2402.13415 (2024)
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Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan A. Rossi, Puja Trivedi, Nesreen K. Ahmed:
Forward Learning of Graph Neural Networks. CoRR abs/2403.11004 (2024)
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Namyong Park, Ryan A. Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed, Christos Faloutsos:
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection. CoRR abs/2404.01578 (2024)
[i66]
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Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan:
A structure-aware framework for learning device placements on computation graphs. CoRR abs/2405.14185 (2024)
[i65]
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Yu Wang, Ryan A. Rossi, Namyong Park, Huiyuan Chen, Nesreen K. Ahmed, Puja Trivedi, Franck Dernoncourt, Danai Koutra, Tyler Derr:
Large Generative Graph Models. CoRR abs/2406.05109 (2024)
[i64]
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Guillermo Bernárdez, Lev Telyatnikov, Marco Montagna, Federica Baccini, Mathilde Papillon, Miquel Ferriol Galmés, Mustafa Hajij, Theodore Papamarkou, Maria Sofia Bucarelli, Olga Zaghen, Johan Mathe, Audun Myers, Scott Mahan, Hansen Lillemark, Sharvaree P. Vadgama, Erik J. Bekkers, Tim Doster, Tegan Emerson, Henry Kvinge, Katrina Agate, Nesreen K. Ahmed, Pengfei Bai, Michael Banf, Claudio Battiloro, Maxim Beketov, Paul Bogdan, Martin Carrasco, Andrea Cavallo, Yun Young Choi, George Dasoulas, Matous Elphick, Giordan Escalona, Dominik Filipiak, Halley Fritze, Thomas Gebhart, Manel Gil-Sorribes, Salvish Goomanee, Victor Guallar, Liliya Imasheva, Andrei Irimia, Hongwei Jin, Graham Johnson, Nikos Kanakaris, Boshko Koloski, Veljko Kovac, Manuel Lecha, Minho Lee, Pierrick Leroy, Theodore Long, German Magai, Alvaro Martinez, Marissa Masden, Sebastian Meznar, Bertran Miquel-Oliver, Alexis Molina, Alexander Nikitin, Marco Nurisso, Matt Piekenbrock, Yu Qin, Patryk Rygiel, Alessandro Salatiello, Max Schattauer, Pavel Snopov, Julian Suk, Valentina Sánchez, Mauricio Tec, Francesco Vaccarino, Jonas Verhellen, Frédéric Wantiez, Alexander Weers, Patrik Zajec, Blaz Skrlj, Nina Miolane:
ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. CoRR abs/2409.05211 (2024)
[i63]
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Tal Kadosh, Niranjan Hasabnis, Prema Soundararajan, Vy A. Vo, Mihai Capota, Nesreen K. Ahmed, Yuval Pinter, Gal Oren:
OMPar: Automatic Parallelization with AI-Driven Source-to-Source Compilation. CoRR abs/2409.14771 (2024)
2023
[i62]
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Kewei Cheng, Nesreen K. Ahmed, Yizhou Sun:
Neural Compositional Rule Learning for Knowledge Graph Reasoning. CoRR abs/2303.03581 (2023)
[i61]
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Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari:
Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation. CoRR abs/2305.05779 (2023)
[i60]
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Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari:
PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis. CoRR abs/2306.00210 (2023)
[i59]
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April Chen, Ryan A. Rossi, Namyong Park, Puja Trivedi, Yu Wang, Tong Yu, Sungchul Kim, Franck Dernoncourt, Nesreen K. Ahmed:
Fairness-Aware Graph Neural Networks: A Survey. CoRR abs/2307.03929 (2023)
[i58]
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Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren:
Scope is all you need: Transforming LLMs for HPC Code. CoRR abs/2308.09440 (2023)
[i57]
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Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, Md. Mehrab Tanjim, Sungchul Kim, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Nesreen K. Ahmed:
Bias and Fairness in Large Language Models: A Survey. CoRR abs/2309.00770 (2023)
[i56]
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Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Nesreen K. Ahmed, Ali Jannesari:
AUTOPARLLM: GNN-Guided Automatic Code Parallelization using Large Language Models. CoRR abs/2310.04047 (2023)
[i55]
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Le Chen, Arijit Bhattacharjee, Nesreen K. Ahmed, Niranjan Hasabnis, Gal Oren, Bin Lei, Ali Jannesari:
CompCodeVet: A Compiler-guided Validation and Enhancement Approach for Code Dataset. CoRR abs/2311.06505 (2023)
[i54]
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Puja Trivedi, Ryan A. Rossi, David Arbour, Tong Yu, Franck Dernoncourt, Sungchul Kim, Nedim Lipka, Namyong Park, Nesreen K. Ahmed, Danai Koutra:
Leveraging Graph Diffusion Models for Network Refinement Tasks. CoRR abs/2311.17856 (2023)
[i53]
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Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR abs/2312.05657 (2023)
[i52]
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Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren:
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. CoRR abs/2312.13322 (2023)
2022
[i51]
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Ancy Sarah Tom, Nesreen K. Ahmed, George Karypis:
Joint Learning of Hierarchical Community Structure and Node Representations: An Unsupervised Approach. CoRR abs/2201.09086 (2022)
[i50]
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Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR abs/2204.08504 (2022)
[i49]
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  - journals/corr/abs-2204-11981
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Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR abs/2204.11981 (2022)
[i48]
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  - journals/corr/abs-2206-03635
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Xinyi Zheng, Ryan A. Rossi, Nesreen K. Ahmed, Dominik Moritz:
Network Report: A Structured Description for Network Datasets. CoRR abs/2206.03635 (2022)
[i47]
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Namyong Park, Ryan A. Rossi, Nesreen K. Ahmed, Christos Faloutsos:
AutoGML: Fast Automatic Model Selection for Graph Machine Learning. CoRR abs/2206.09280 (2022)
[i46]
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  - journals/corr/abs-2209-10818
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Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR abs/2209.10818 (2022)
[i45]
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  - journals/corr/abs-2212-12040
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April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed:
Graph Learning with Localized Neighborhood Fairness. CoRR abs/2212.12040 (2022)
[i44]
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  - journals/corr/abs-2212-14077
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Ryan Aponte, Ryan A. Rossi, Shunan Guo, Jane Hoffswell, Nedim Lipka, Chang Xiao, Gromit Chan, Eunyee Koh, Nesreen K. Ahmed:
A Hypergraph Neural Network Framework for Learning Hyperedge-Dependent Node Embeddings. CoRR abs/2212.14077 (2022)
2021
[i43]
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  - journals/corr/abs-2102-06343
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Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. CoRR abs/2102.06343 (2021)
[i42]
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Md. Vasimuddin, Sanchit Misra, Guixiang Ma, Ramanarayan Mohanty, Evangelos Georganas, Alexander Heinecke, Dhiraj D. Kalamkar, Nesreen K. Ahmed, Sasikanth Avancha:
DistGNN: Scalable Distributed Training for Large-Scale Graph Neural Networks. CoRR abs/2104.06700 (2021)
[i41]
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  - journals/corr/abs-2111-14674
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Aravind Reddy, Ryan A. Rossi, Zhao Song, Anup B. Rao, Tung Mai, Nedim Lipka, Gang Wu, Eunyee Koh, Nesreen K. Ahmed:
Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes. CoRR abs/2111.14674 (2021)
2020
[i40]
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  - journals/corr/abs-2001-05993
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Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Inferring Individual Level Causal Models from Graph-based Relational Time Series. CoRR abs/2001.05993 (2020)
[i39]
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  - journals/corr/abs-2009-13566
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Jiong Zhu, Ryan A. Rossi, Anup B. Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. CoRR abs/2009.13566 (2020)
[i38]
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Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR abs/2010.04414 (2020)
[i37]
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Sriram Aananthakrishnan, Nesreen K. Ahmed, Vincent Cavé, Marcelo Cintra, Yigit Demir, Kristof Du Bois, Stijn Eyerman, Joshua B. Fryman, Ivan Ganev, Wim Heirman, Hans-Christian Hoppe, Jason Howard, Ibrahim Hur, Midhunchandra Kodiyath, Samkit Jain, Daniel S. Klowden, Marek M. Landowski, Laurent Montigny, Ankit More, Przemyslaw Ossowski, Robert Pawlowski, Nick Pepperling, Fabrizio Petrini, Mariusz Sikora, Balasubramanian Seshasayee, Shaden Smith, Sebastian Szkoda, Sanjaya Tayal, Jesmin Jahan Tithi, Yves Vandriessche, Izajasz P. Wrosz:
PIUMA: Programmable Integrated Unified Memory Architecture. CoRR abs/2010.06277 (2020)
[i36]
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Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. CoRR abs/2010.14058 (2020)
2019
[i35]
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  - journals/corr/abs-1901-10026
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Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Network Motifs. CoRR abs/1901.10026 (2019)
[i34]
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John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Temporal Network Representation Learning. CoRR abs/1904.06449 (2019)
[i33]
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  - journals/corr/abs-1906-05059
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Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. CoRR abs/1906.05059 (2019)
[i32]
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Linear-time Hierarchical Community Detection. CoRR abs/1906.06432 (2019)
[i31]
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  - journals/corr/abs-1908-01087
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Nesreen K. Ahmed, Nick Duffield:
Network Shrinkage Estimation. CoRR abs/1908.01087 (2019)
[i30]
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Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica:
Deep Reinforcement Learning in System Optimization. CoRR abs/1908.01275 (2019)
[i29]
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Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
From Community to Role-based Graph Embeddings. CoRR abs/1908.08572 (2019)
[i28]
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  - journals/corr/abs-1909-13639
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Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR abs/1909.13639 (2019)
[i27]
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Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Temporal Network Sampling. CoRR abs/1910.08657 (2019)
[i26]
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  - journals/corr/abs-1912-11615
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Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep Graph Similarity Learning: A Survey. CoRR abs/1912.11615 (2019)
2018
[i25]
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
HONE: Higher-Order Network Embeddings. CoRR abs/1801.09303 (2018)
[i24]
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  - journals/corr/abs-1802-02896
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Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry:
Learning Role-based Graph Embeddings. CoRR abs/1802.02896 (2018)
[i23]
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  - journals/corr/abs-1807-07984
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John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. CoRR abs/1807.07984 (2018)
[i22]
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  - journals/corr/abs-1811-02662
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Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR abs/1811.02662 (2018)
2017
[i21]
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Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Estimation of Graphlet Statistics. CoRR abs/1701.01772 (2017)
[i20]
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Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. CoRR abs/1703.02625 (2017)
[i19]
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Nick G. Duffield, Yunhong Xu, Liangzhen Xia, Nesreen K. Ahmed, Minlan Yu:
Stream Aggregation Through Order Sampling. CoRR abs/1703.02693 (2017)
[i18]
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Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Feature Learning for Graphs. CoRR abs/1704.08829 (2017)
[i17]
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  - journals/corr/abs-1709-04481
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James P. Canning, Emma E. Ingram, Sammantha Nowak-Wolff, Adriana M. Ortiz, Nesreen K. Ahmed, Ryan A. Rossi, Karl Robert Bruce Schmitt, Sucheta Soundarajan:
Network Classification and Categorization. CoRR abs/1709.04481 (2017)
[i16]
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Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry:
A Framework for Generalizing Graph-based Representation Learning Methods. CoRR abs/1709.04596 (2017)
[i15]
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  - journals/corr/abs-1710-09471
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Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry:
Representation Learning in Large Attributed Graphs. CoRR abs/1710.09471 (2017)
[i14]
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Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. CoRR abs/1710.10335 (2017)
[i13]
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  - journals/corr/abs-1712-08685
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Nesreen K. Ahmed, Nick G. Duffield, Liangzhen Xia:
Estimating Node Similarity by Sampling Streaming Bipartite Graphs. CoRR abs/1712.08685 (2017)
2016
[i12]
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Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Relational Similarity Machines. CoRR abs/1608.00876 (2016)
[i11]
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Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Revisiting Role Discovery in Networks: From Node to Edge Roles. CoRR abs/1610.00844 (2016)
2015
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Nesreen K. Ahmed, Ryan A. Rossi:
A Web-based Interactive Visual Graph Analytics Platform. CoRR abs/1502.00354 (2015)
[i9]
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Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Fast Parallel Graphlet Counting for Large Networks. CoRR abs/1506.04322 (2015)
2014
[i8]
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Ryan A. Rossi, Nesreen K. Ahmed:
Coloring Large Complex Networks. CoRR abs/1403.3448 (2014)
[i7]
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Nesreen K. Ahmed, Christopher Cole, Jennifer Neville:
Learning the Latent State Space of Time-Varying Graphs. CoRR abs/1403.3707 (2014)
[i6]
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Nesreen K. Ahmed, Nick G. Duffield, Jennifer Neville, Ramana Rao Kompella:
Graph Sample and Hold: A Framework for Big-Graph Analytics. CoRR abs/1403.3909 (2014)
[i5]
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Ryan A. Rossi, Nesreen K. Ahmed:
Role Discovery in Networks. CoRR abs/1405.7134 (2014)
[i4]
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Ryan A. Rossi, Nesreen K. Ahmed:
NetworkRepository: A Graph Data Repository with Visual Interactive Analytics. CoRR abs/1410.3560 (2014)
2012
[i3]
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  - journals/corr/abs-1206-4952
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Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Space-Efficient Sampling from Social Activity Streams. CoRR abs/1206.4952 (2012)
[i2]
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  - journals/corr/abs-1211-1694
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Ayman Farahat, Nesreen K. Ahmed, Utpal M. Dholakia:
Does a Daily Deal Promotion Signal a Distressed Business? An Empirical Investigation of Small Business Survival. CoRR abs/1211.1694 (2012)
[i1]
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  dblp key:
  - journals/corr/abs-1211-3412
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  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-1211-3412
Nesreen K. Ahmed, Jennifer Neville, Ramana Rao Kompella:
Network Sampling: From Static to Streaming Graphs. CoRR abs/1211.3412 (2012)

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