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Ryan Anthony Rossi
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2020 – today
- 2021
[j20]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)- [c53]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 - [c52]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT 2021: 2767-2776 - [c51]Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee:
Generating Accurate Caption Units for Figure Captioning. WWW 2021: 2792-2804 - [i60]Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi, Anup Rao, Tung Mai:
Fundamental Tradeoffs in Distributionally Adversarial Training. CoRR abs/2101.06309 (2021) - [i59]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) - [i58]Enayat Ullah, Tung Mai, Anup Rao, Ryan A. Rossi, Raman Arora:
Machine Unlearning via Algorithmic Stability. CoRR abs/2102.13179 (2021) - [i57]Mojtaba Sahraee-Ardakan, Tung Mai, Anup B. Rao, Ryan A. Rossi, Sundeep Rangan, Alyson K. Fletcher:
Asymptotics of Ridge Regression in Convolutional Models. CoRR abs/2103.04557 (2021) - [i56]Camille Harris, Ryan A. Rossi, Sana Malik, Jane Hoffswell, Fan Du, Tak Yeon Lee, Eunyee Koh, Handong Zhao:
Insight-centric Visualization Recommendation. CoRR abs/2103.11297 (2021) - [i55]Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR abs/2104.04909 (2021) - 2020
- [j19]Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi:
Ensemble Learning for Relational Data. J. Mach. Learn. Res. 21: 49:1-49:37 (2020) - [j18]Ryan A. Rossi, Nesreen K. Ahmed:
Correction to: Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 10(1): 19 (2020) - [j17]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) - [j16]Ryan A. Rossi
, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 32(3): 438-452 (2020) - [c50]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. ICML 2020: 7521-7531 - [c49]Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh:
Higher-order Clustering in Complex Heterogeneous Networks. KDD 2020: 25-35 - [c48]Alireza Farhadi, Mohammad Taghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi:
Approximate Maximum Matching in Random Streams. SODA 2020: 1773-1785 - [c47]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi:
Figure Captioning with Relation Maps for Reasoning. WACV 2020: 1526-1534 - [c46]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 - [c45]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) 2020: 10-12 - [c44]Ryan A. Rossi, Anup Rao, Tung Mai, Nesreen K. Ahmed:
Fast and Accurate Estimation of Typed Graphlets. WWW (Companion Volume) 2020: 32-34 - [c43]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 - [c42]Gromit Yeuk-Yin Chan, Fan Du, Ryan A. Rossi, Anup B. Rao, Eunyee Koh, Cláudio T. Silva, Juliana Freire:
Real-Time Clustering for Large Sparse Online Visitor Data. WWW 2020: 1049-1059 - [i54]Ryan A. Rossi, Somdeb Sarkhel, Nesreen K. Ahmed:
Inferring Individual Level Causal Models from Graph-based Relational Time Series. CoRR abs/2001.05993 (2020) - [i53]Youngsuk Park, Ryan A. Rossi, Zheng Wen, Gang Wu, Handong Zhao:
Structured Policy Iteration for Linear Quadratic Regulator. CoRR abs/2007.06202 (2020) - [i52]Galen Weld, Peter West, Maria Glenski, David Arbour, Ryan A. Rossi, Tim Althoff:
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference. CoRR abs/2009.09961 (2020) - [i51]Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
From Static to Dynamic Node Embeddings. CoRR abs/2009.10017 (2020) - [i50]Yue Zhao, Ryan A. Rossi, Leman Akoglu:
Automating Outlier Detection via Meta-Learning. CoRR abs/2009.10606 (2020) - [i49]Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data. CoRR abs/2009.12316 (2020) - [i48]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Hoda Eldardiry:
A Context Integrated Relational Spatio-Temporal Model for Demand and Supply Forecasting. CoRR abs/2009.12469 (2020) - [i47]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Clustering-based Unsupervised Generative Relation Extraction. CoRR abs/2009.12681 (2020) - [i46]Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry:
Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction. CoRR abs/2009.12683 (2020) - [i45]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) - [i44]Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting. CoRR abs/2010.07373 (2020) - [i43]Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020) - [i42]Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR abs/2010.12873 (2020) - [i41]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)
2010 – 2019
- 2019
- [j15]Ryan A. Rossi, Nesreen K. Ahmed:
Complex networks are structurally distinguishable by domain. Soc. Netw. Anal. Min. 9(1): 51:1-51:13 (2019) - [j14]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) - [j13]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) - [c41]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Graph Convolutional Networks with Motif-based Attention. CIKM 2019: 499-508 - [c40]Youngsuk Park, Kanak Mahadik, Ryan A. Rossi, Gang Wu, Handong Zhao:
Linear Quadratic Regulator for Resource-Efficient Cloud Services. SoCC 2019: 488-489 - [c39]Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Neural caption generation over figures. UbiComp/ISWC Adjunct 2019: 482-485 - [c38]Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra:
Latent Network Summarization: Bridging Network Embedding and Summarization. KDD 2019: 987-997 - [c37]Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-Aware Node Representations for User Stitching. ECML/PKDD (1) 2019: 483-506 - [c36]Tung Mai, Anup Rao, Matt Kapilevich, Ryan A. Rossi, Yasin Abbasi-Yadkori, Ritwik Sinha:
On Densification for Minwise Hashing. UAI 2019: 831-840 - [c35]Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh:
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM 2019: 663-671 - [i40]Vanishree Rao, Yunhui Long, Hoda Eldardiry, Shantanu Rane, Ryan A. Rossi, Frank Torres:
Secure Two-Party Feature Selection. CoRR abs/1901.00832 (2019) - [i39]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) - [i38]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) - [i37]Di Jin, Mark Heimann, Ryan A. Rossi, Danai Koutra:
node2bits: Compact Time- and Attribute-aware Node Representations for User Stitching. CoRR abs/1904.08572 (2019) - [i36]Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Figure Captioning with Reasoning and Sequence-Level Training. CoRR abs/1906.02850 (2019) - [i35]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) - [i34]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Linear-time Hierarchical Community Detection. CoRR abs/1906.06432 (2019) - [i33]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) - [i32]Nesreen K. Ahmed, Nick Duffield, Ryan A. Rossi:
Temporal Network Sampling. CoRR abs/1910.08657 (2019) - [i31]Alireza Farhadi, MohammadTaghi Hajiaghayi, Tung Mai, Anup Rao, Ryan A. Rossi:
Approximate Maximum Matching in Random Streams. CoRR abs/1912.10497 (2019) - 2018
- [j12]Ryan A. Rossi, Rong Zhou:
GraphZIP: a clique-based sparse graph compression method. J. Big Data 5: 10 (2018) - [j11]Ryan A. Rossi:
Relational time series forecasting. Knowl. Eng. Rev. 33: e1 (2018) - [j10]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) - [c34]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 - [c33]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 - [c32]Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu:
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. CIKM 2018: 2175-2182 - [c31]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Interactive Higher-Order Network Analysis. ICDM Workshops 2018: 1441-1446 - [c30]Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. IJCNN 2018: 1-8 - [c29]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong:
Graph Classification using Structural Attention. KDD 2018: 1666-1674 - [c28]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
Higher-order Network Representation Learning. WWW (Companion Volume) 2018: 3-4 - [c27]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Inductive Network Representation Learning. WWW (Companion Volume) 2018: 953-960 - [c26]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 - [i30]Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh:
HONE: Higher-Order Network Embeddings. CoRR abs/1801.09303 (2018) - [i29]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) - [i28]John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. CoRR abs/1807.07984 (2018) - [i27]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Higher-order Graph Convolutional Networks. CoRR abs/1809.07697 (2018) - [i26]Aldo G. Carranza, Ryan A. Rossi, Anup Rao, Eunyee Koh:
Higher-order Spectral Clustering for Heterogeneous Graphs. CoRR abs/1810.02959 (2018) - [i25]Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao:
Bridging Network Embedding and Graph Summarization. CoRR abs/1811.04461 (2018) - 2017
- [j9]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) - [j8]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) - [c25]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
A Higher-Order Latent Space Network Model. AAAI Workshops 2017 - [c24]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Edge Role Discovery via Higher-Order Structures. PAKDD (1) 2017: 291-303 - [i24]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Estimation of Graphlet Statistics. CoRR abs/1701.01772 (2017) - [i23]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. CoRR abs/1703.02625 (2017) - [i22]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Deep Feature Learning for Graphs. CoRR abs/1704.08829 (2017) - [i21]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) - [i20]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) - [i19]John Boaz Lee, Ryan A. Rossi, Xiangnan Kong:
Deep Graph Attention Model. CoRR abs/1709.06075 (2017) - [i18]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) - [i17]Ryan A. Rossi, Nesreen K. Ahmed, Hoda Eldardiry, Rong Zhou:
Similarity-based Multi-label Learning. CoRR abs/1710.10335 (2017) - 2016
- [j7]Ryan A. Rossi, Rong Zhou:
Parallel collective factorization for modeling large heterogeneous networks. Soc. Netw. Anal. Min. 6(1): 67:1-67:30 (2016) - [c23]Ryan A. Rossi, Rong Zhou:
Toward Interactive Relational Learning. AAAI 2016: 4383-4384 - [c22]Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Estimation of local subgraph counts. IEEE BigData 2016: 586-595 - [c21]Ryan A. Rossi, Rong Zhou:
Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks. CIKM 2016: 1783-1792 - [c20]Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Exact and Estimation of Local Edge-centric Graphlet Counts. BigMine 2016: 1-17 - [i16]Ryan A. Rossi, Rong Zhou, Nesreen K. Ahmed:
Relational Similarity Machines. CoRR abs/1608.00876 (2016) - [i15]Ryan A. Rossi, Rong Zhou:
Hybrid CPU-GPU Framework for Network Motifs. CoRR abs/1608.05138 (2016) - [i14]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
- [j6]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin:
Parallel Maximum Clique Algorithms with Applications to Network Analysis. SIAM J. Sci. Comput. 37(5) (2015) - [j5]Ryan A. Rossi, Nesreen K. Ahmed:
An Interactive Data Repository with Visual Analytics. SIGKDD Explor. 17(2): 37-41 (2015) - [j4]Ryan A. Rossi, Nesreen K. Ahmed:
Role Discovery in Networks. IEEE Trans. Knowl. Data Eng. 27(4): 1112-1131 (2015) - [c19]Ryan A. Rossi, Nesreen K. Ahmed:
The Network Data Repository with Interactive Graph Analytics and Visualization. AAAI 2015: 4292-4293 - [c18]Ryan A. Rossi, Rong Zhou:
Scalable relational learning for large heterogeneous networks. DSAA 2015: 1-10 - [c17]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Efficient Graphlet Counting for Large Networks. ICDM 2015: 1-10 - [c16]Nesreen Kamel Ahmed, Ryan Anthony Rossi:
Interactive Visual Graph Analytics on the Web. ICWSM 2015: 566-569 - [i13]Nesreen K. Ahmed, Ryan A. Rossi:
A Web-based Interactive Visual Graph Analytics Platform. CoRR abs/1502.00354 (2015) - [i12]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield:
Fast Parallel Graphlet Counting for Large Networks. CoRR abs/1506.04322 (2015) - 2014
- [j3]David F. Gleich, Ryan A. Rossi:
A Dynamical System for PageRank with Time-Dependent Teleportation. Internet Math. 10(1-2): 188-217 (2014) - [j2]Ryan A. Rossi, Nesreen K. Ahmed:
Coloring large complex networks. Soc. Netw. Anal. Min. 4(1): 228 (2014) - [c15]Ryan A. Rossi:
Fast Triangle Core Decomposition for Mining Large Graphs. PAKDD (1) 2014: 310-322 - [c14]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary:
Fast maximum clique algorithms for large graphs. WWW (Companion Volume) 2014: 365-366 - [i11]Ryan A. Rossi, Nesreen K. Ahmed:
Coloring Large Complex Networks. CoRR abs/1403.3448 (2014) - [i10]Ryan A. Rossi, Nesreen K. Ahmed:
Role Discovery in Networks. CoRR abs/1405.7134 (2014) - [i9]Ryan A. Rossi, Nesreen K. Ahmed:
NetworkRepository: A Graph Data Repository with Visual Interactive Analytics. CoRR abs/1410.3560 (2014) - 2013
- [c13]Ryan A. Rossi, Sonia Fahmy, Nilothpal Talukder:
A multi-level approach for evaluating internet topology generators. Networking 2013: 1-9 - [c12]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Modeling dynamic behavior in large evolving graphs. WSDM 2013: 667-676 - [i8]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary:
A Fast Parallel Maximum Clique Algorithm for Large Sparse Graphs and Temporal Strong Components. CoRR abs/1302.6256 (2013) - 2012
- [j1]Ryan A. Rossi, Luke K. McDowell, David William Aha, Jennifer Neville:
Transforming Graph Data for Statistical Relational Learning. J. Artif. Intell. Res. 45: 363-441 (2012) - [c11]Ryan A. Rossi, Jennifer Neville:
Time-Evolving Relational Classification and Ensemble Methods. PAKDD (1) 2012: 1-13 - [c10]Ryan A. Rossi, David F. Gleich:
Dynamic PageRank Using Evolving Teleportation. WAW 2012: 126-137 - [c9]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Role-dynamics: fast mining of large dynamic networks. WWW (Companion Volume) 2012: 997-1006 - [i7]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Role-Dynamics: Fast Mining of Large Dynamic Networks. CoRR abs/1203.2200 (2012) - [i6]Ryan A. Rossi, David F. Gleich:
Dynamic PageRank using Evolving Teleportation. CoRR abs/1203.6098 (2012) - [i5]Ryan A. Rossi, Luke K. McDowell, David W. Aha, Jennifer Neville:
Transforming Graph Representations for Statistical Relational Learning. CoRR abs/1204.0033 (2012) - [i4]Ryan A. Rossi, Brian Gallagher, Jennifer Neville, Keith Henderson:
Dynamic Behavioral Mixed-Membership Model for Large Evolving Networks. CoRR abs/1205.2056 (2012) - [i3]Ryan A. Rossi, David F. Gleich, Assefaw Hadish Gebremedhin, Md. Mostofa Ali Patwary:
What if CLIQUE were fast? Maximum Cliques in Information Networks and Strong Components in Temporal Networks. CoRR abs/1210.5802 (2012) - [i2]David F. Gleich, Ryan A. Rossi:
A Dynamical System for PageRank with Time-Dependent Teleportation. CoRR abs/1211.4266 (2012) - 2011
- [i1]Ryan A. Rossi, Jennifer Neville:
Representations and Ensemble Methods for Dynamic Relational Classification. CoRR abs/1111.5312 (2011) - 2010
- [c8]Khawaja S. Shams, Mark W. Powell, Thomas Crockett, Jeffrey S. Norris, Ryan A. Rossi, Tom Söderström:
Polyphony: A Workflow Orchestration Framework for Cloud Computing. CCGRID 2010: 606-611 - [c7]Ryan A. Rossi, Jennifer Neville:
Modeling the evolution of discussion topics and communication to improve relational classification. SOMA@KDD 2010: 89-97
2000 – 2009
- 2009
- [c6]John W. Stamey, Ryan A. Rossi:
Automatically identifying relations in privacy policies. SIGDOC 2009: 233-238 - 2008
- [c5]Jean-Louis Lassez, Ryan A. Rossi, Kumar Jeev:
Ranking Links on the Web: Search and Surf Engines. IEA/AIE 2008: 199-208 - [c4]