Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDCarl Yang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j2]Carl Yang
, Aydin Buluç, John D. Owens:
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU. ACM Trans. Math. Softw. 48(1): 1:1-1:51 (2022)- [c56]Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang:
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. ECIR (2) 2022: 75-83 - [c55]Jun Yu, Zhaoming Kong, Aditya Kendre, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. ISBI 2022: 1-5 - [c54]Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han:
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW 2022: 1301-1310 - [i48]Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang:
How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation. CoRR abs/2201.04672 (2022) - [i47]Jamie Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. CoRR abs/2202.07253 (2022) - [i46]Mingyue Tang, Carl Yang, Pan Li:
Graph Auto-Encoder Via Neighborhood Wasserstein Reconstruction. CoRR abs/2202.09025 (2022) - [i45]Kai Zhang, Yu Wang, Hongyi Wang, Lifu Huang, Carl Yang, Lichao Sun:
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation. CoRR abs/2203.09553 (2022) - [i44]Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han:
Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR abs/2203.15802 (2022) - [i43]Hejie Cui, Wei Dai, Yanqiao Zhu, Xuan Kan, Antonio Aodong Chen Gu, Joshua Lukemire, Liang Zhan, Lifang He, Ying Guo, Carl Yang:
BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks. CoRR abs/2204.07054 (2022) - [i42]Yanchao Tan, Carl Yang, Xiangyu Wei, Ziyue Wu, Xiaolin Zheng:
Partial Relaxed Optimal Transport for Denoised Recommendation. CoRR abs/2204.08619 (2022) - [i41]Yuanxin Zhuang, Lingjuan Lyu, Chuan Shi, Carl Yang, Lichao Sun:
Data-Free Adversarial Knowledge Distillation for Graph Neural Networks. CoRR abs/2205.03811 (2022) - 2021
- [c53]Sai Vidyaranya Nuthalapati, Ramraj Chandradevan, Eleonora Giunchiglia, Bowen Li, Maxime Kayser, Thomas Lukasiewicz, Carl Yang:
Lightweight Visual Question Answering using Scene Graphs. CIKM 2021: 3353-3357 - [c52]Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng:
Multi-Facet Recommender Networks with Spherical Optimization. ICDE 2021: 1524-1535 - [c51]Chen Ling, Carl Yang, Liang Zhao:
Deep Generation of Heterogeneous Networks. ICDM 2021: 379-388 - [c50]Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. IJCAI 2021: 2249-2255 - [c49]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. IJCAI 2021: 2767-2774 - [c48]Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun:
Secure Deep Graph Generation with Link Differential Privacy. IJCAI 2021: 3271-3278 - [c47]Carl Yang, Jieyu Zhang, Jiawei Han:
TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract). IJCAI 2021: 4859-4863 - [c46]Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. NeurIPS 2021: 1766-1779 - [c45]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. NeurIPS 2021: 6671-6682 - [c44]Jinming Cui, Chaochao Chen, Lingjuan Lyu, Carl Yang, Li Wang:
Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation. NeurIPS 2021: 10524-10534 - [c43]Han Xie, Jing Ma, Li Xiong, Carl Yang:
Federated Graph Classification over Non-IID Graphs. NeurIPS 2021: 18839-18852 - [c42]Xuan Kan, Hejie Cui, Carl Yang:
Zero-Shot Scene Graph Relation Prediction Through Commonsense Knowledge Integration. ECML/PKDD (2) 2021: 466-482 - [c41]Yuanzhen Xie, Zijing Ou, Liang Chen, Yang Liu, Kun Xu, Carl Yang, Zibin Zheng:
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network. WSDM 2021: 184-192 - [c40]Wenjie Hu, Yang Yang, Ziqiang Cheng, Carl Yang, Xiang Ren:
Time-Series Event Prediction with Evolutionary State Graph. WSDM 2021: 580-588 - [c39]Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. WWW 2021: 768-777 - [i40]Yanchao Tan, Carl Yang, Xiangyu Wei, Yun Ma, Xiaolin Zheng:
Multi-Facet Recommender Networks with Spherical Optimization. CoRR abs/2103.14866 (2021) - [i39]Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He:
Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. CoRR abs/2105.03178 (2021) - [i38]Haonan Wang, Chang Zhou, Carl Yang, Hongxia Yang, Jingrui He:
Controllable Gradient Item Retrieval. CoRR abs/2106.00062 (2021) - [i37]Han Xie, Jing Ma, Li Xiong, Carl Yang:
Federated Graph Classification over Non-IID Graphs. CoRR abs/2106.13423 (2021) - [i36]Ke Zhang, Carl Yang, Xiaoxiao Li, Lichao Sun, Siu-Ming Yiu:
Subgraph Federated Learning with Missing Neighbor Generation. CoRR abs/2106.13430 (2021) - [i35]Hejie Cui, Zijie Lu, Pan Li, Carl Yang:
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs. CoRR abs/2107.01495 (2021) - [i34]Yanqiao Zhu, Hejie Cui, Lifang He, Lichao Sun, Carl Yang:
Joint Embedding of Structural and Functional Brain Networks with Graph Neural Networks for Mental Illness Diagnosis. CoRR abs/2107.03220 (2021) - [i33]Xuan Kan, Hejie Cui, Carl Yang:
Zero-Shot Scene Graph Relation Prediction through Commonsense Knowledge Integration. CoRR abs/2107.05080 (2021) - [i32]Hejie Cui, Wei Dai, Yanqiao Zhu, Xiaoxiao Li, Lifang He, Carl Yang:
BrainNNExplainer: An Interpretable Graph Neural Network Framework for Brain Network based Disease Analysis. CoRR abs/2107.05097 (2021) - [i31]Xuan Kan, Hejie Cui, Ying Guo, Carl Yang:
Effective and Interpretable fMRI Analysis via Functional Brain Network Generation. CoRR abs/2107.11247 (2021) - [i30]Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang:
Understanding Structural Vulnerability in Graph Convolutional Networks. CoRR abs/2108.06280 (2021) - [i29]Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu:
Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning. CoRR abs/2108.13886 (2021) - [i28]Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, Jiawei Han:
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction. CoRR abs/2109.12093 (2021) - [i27]Zhaoming Kong, Aditya Kendre, Jun Yu, Hao Peng, Carl Yang, Lichao Sun, Alex D. Leow, Lifang He:
Structure-Preserving Graph Kernel for Brain Network Classification. CoRR abs/2111.10803 (2021) - 2020
- [c38]Carl Yang, Liyuan Liu, Mengxiong Liu, Zongyi Wang, Chao Zhang, Jiawei Han:
Graph Clustering with Embedding Propagation. IEEE BigData 2020: 858-867 - [c37]Yingkui Wang, Di Jin, Carl Yang, Jianwu Dang:
Integrating Group Homophily and Individual Personality of Topics Can Better Model Network Communities. ICDM 2020: 611-620 - [c36]Carl Yang, Jieyu Zhang, Jiawei Han:
Co-Embedding Network Nodes and Hierarchical Labels with Taxonomy Based Generative Adversarial Networks. ICDM 2020: 721-730 - [c35]Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han:
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation. IJCAI 2020: 1303-1309 - [c34]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [c33]Carl Yang, Aditya Pal, Andrew Zhai, Nikil Pancha, Jiawei Han, Charles Rosenberg, Jure Leskovec:
MultiSage: Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks. KDD 2020: 2434-2443 - [c32]Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng:
Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines. SIGIR 2020: 419-428 - [c31]Carl Yang, Jieyu Zhang, Haonan Wang, Bangzheng Li, Jiawei Han:
Neural Concept Map Generation for Effective Document Classification with Interpretable Structured Summarization. SIGIR 2020: 1629-1632 - [c30]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myungwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. WSDM 2020: 699-707 - [i26]Carl Yang, Mengxiong Liu, Frank He, Jian Peng, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. CoRR abs/2002.00841 (2020) - [i25]Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han:
Heterogeneous Network Representation Learning: Survey, Benchmark, Evaluation, and Beyond. CoRR abs/2004.00216 (2020) - [i24]Carl Yang, Haonan Wang, Lichao Sun, Bo Li:
Secure Network Release with Link Privacy. CoRR abs/2005.00455 (2020) - [i23]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020) - [i22]Di Jin, Zhizhi Yu, Dongxiao He, Carl Yang, Philip S. Yu, Jiawei Han:
GCN for HIN via Implicit Utilization of Attention and Meta-paths. CoRR abs/2007.02643 (2020) - [i21]Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang:
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR abs/2009.05204 (2020)
2010 – 2019
- 2019
- [c29]Yuxin Xiao, Zecheng Zhang, Carl Yang, Chengxiang Zhai:
Non-local Attention Learning on Large Heterogeneous Information Networks. IEEE BigData 2019: 978-987 - [c28]Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CIKM 2019: 2121-2124 - [c27]Xiaoyun Wang, Zhongyi Lin, Carl Yang, John D. Owens:
Accelerating DNN Inference with GraphBLAS and the GPU. HPEC 2019: 1-6 - [c26]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. ICDM 2019: 698-707 - [c25]Carl Yang, Jiawei Han:
cube2net: Efficient Query-Specific Network Construction with Data Cube Organization. ICDM Workshops 2019: 1088-1089 - [c24]Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang:
RASE: Relationship Aware Social Embedding. IJCNN 2019: 1-8 - [c23]Muhammad Osama, Minh Truong, Carl Yang, Aydin Buluç, John D. Owens:
Graph Coloring on the GPU. IPDPS Workshops 2019: 231-240 - [c22]Tim Mattson, Timothy A. Davis, Manoj Kumar, Aydin Buluç, Scott McMillan, José E. Moreira, Carl Yang:
LAGraph: A Community Effort to Collect Graph Algorithms Built on Top of the GraphBLAS. IPDPS Workshops 2019: 276-284 - [c21]Carl Yang, Peiye Zhuang, Wenhan Shi, Alan Luu, Pan Li:
Conditional Structure Generation through Graph Variational Generative Adversarial Nets. NeurIPS 2019: 1338-1349 - [c20]Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
User-Guided Clustering in Heterogeneous Information Networks via Motif-Based Comprehensive Transcription. ECML/PKDD (1) 2019: 361-377 - [c19]Carl Yang, Kevin Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. SDM 2019: 342-350 - [c18]Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. WWW 2019: 3420-3426 - [i20]Carl Yang, Aydin Buluç, John D. Owens:
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU. CoRR abs/1908.01407 (2019) - [i19]Carl Yang, Lingrui Gan, Zongyi Wang, Jiaming Shen, Jinfeng Xiao, Jiawei Han:
Query-Specific Knowledge Summarization with Entity Evolutionary Networks. CoRR abs/1909.13183 (2019) - [i18]Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. CoRR abs/1910.00004 (2019) - [i17]Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. CoRR abs/1910.00005 (2019) - [i16]Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. CoRR abs/1910.01447 (2019) - [i15]Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. CoRR abs/1910.01448 (2019) - [i14]Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. CoRR abs/1910.01451 (2019) - [i13]Carl Yang, Do Huy Hoang, Tomás Mikolov, Jiawei Han:
Place Deduplication with Embeddings. CoRR abs/1910.04861 (2019) - [i12]Carl Yang, Jieyu Zhang, Haonan Wang, Sha Li, Myungwan Kim, Matt Walker, Yiou Xiao, Jiawei Han:
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders. CoRR abs/1911.05465 (2019) - 2018
- [c17]Chao Zhang, Mengxiong Liu, Zhengchao Liu, Carl Yang, Luming Zhang, Jiawei Han:
Spatiotemporal Activity Modeling Under Data Scarcity: A Graph-Regularized Cross-Modal Embedding Approach. AAAI 2018: 531-538 - [c16]Carl Yang, Mengxiong Liu, Vincent W. Zheng, Jiawei Han:
Node, Motif and Subgraph: Leveraging Network Functional Blocks Through Structural Convolution. ASONAM 2018: 47-52 - [c15]Carl Yang, Aydin Buluç, John D. Owens:
Design Principles for Sparse Matrix Multiplication on the GPU. Euro-Par 2018: 672-687 - [c14]Carl Yang, Chao Zhang, Xuewen Chen, Jieping Ye, Jiawei Han:
Did You Enjoy the Ride? Understanding Passenger Experience via Heterogeneous Network Embedding. ICDE 2018: 1392-1403 - [c13]Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. ICDM 2018: 657-666 - [c12]Carl Yang, Aydin Buluç, John D. Owens:
Implementing Push-Pull Efficiently in GraphBLAS. ICPP 2018: 89:1-89:11 - [c11]Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. KDD 2018: 914-922 - [c10]Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. ECML/PKDD (2) 2018: 37-54 - [i11]Yu Shi, Fangqiu Han, Xinran He, Carl Yang, Jie Luo, Jiawei Han:
mvn2vec: Preservation and Collaboration in Multi-View Network Embedding. CoRR abs/1801.06597 (2018) - [i10]Carl Yang, Aydin Buluç, John D. Owens:
Design Principles for Sparse Matrix Multiplication on the GPU. CoRR abs/1803.08601 (2018) - [i9]Carl Yang, Aydin Buluç, John D. Owens:
Implementing Push-Pull Efficiently in GraphBLAS. CoRR abs/1804.03327 (2018) - [i8]Leyuan Wang, Yangzihao Wang, Carl Yang, John D. Owens:
A Comparative Study on Exact Triangle Counting Algorithms on the GPU. CoRR abs/1804.06926 (2018) - [i7]Yu Shi, Xinwei He, Naijing Zhang, Carl Yang, Jiawei Han:
Higher-Order Clustering in Heterogeneous Information Networks. CoRR abs/1811.11320 (2018) - 2017
- [j1]Yangzihao Wang, Yuechao Pan, Andrew A. Davidson, Yuduo Wu, Carl Yang, Leyuan Wang, Muhammad Osama, Chenshan Yuan, Weitang Liu, Andy T. Riffel, John D. Owens:
Gunrock: GPU Graph Analytics. ACM Trans. Parallel Comput. 4(1): 3:1-3:49 (2017) - [c9]Timothy G. Mattson, Carl Yang, Scott McMillan, Aydin Buluç, José E. Moreira:
GraphBLAS C API: Ideas for future versions of the specification. HPEC 2017: 1-6 - [c8]Yuechao Pan, Yangzihao Wang, Yuduo Wu, Carl Yang, John D. Owens:
Multi-GPU Graph Analytics. IPDPS 2017: 479-490 - [c7]Aydin Buluç, Tim Mattson, Scott McMillan, José E. Moreira, Carl Yang:
Design of the GraphBLAS API for C. IPDPS Workshops 2017: 643-652 - [c6]Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, Jiawei Han:
Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation. KDD 2017: 1245-1254 - [c5]Carl Yang, Lin Zhong, Li-Jia Li, Luo Jie:
Bi-directional Joint Inference for User Links and Attributes on Large Social Graphs. WWW (Companion Volume) 2017: 564-573 - [i6]Yangzihao Wang, Yuechao Pan, Andrew A. Davidson, Yuduo Wu, Carl Yang, Leyuan Wang, Muhammad Osama, Chenshan Yuan, Weitang Liu, Andy T. Riffel, John D. Owens:
Gunrock: GPU Graph Analytics. CoRR abs/1701.01170 (2017) - [i5]Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang:
CONE: Community Oriented Network Embedding. CoRR abs/1709.01554 (2017) - [i4]Carl Yang, Kevin Chen-Chuan Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. CoRR abs/1710.01363 (2017) - [i3]Carl Yang, Mengxiong Liu, Zongyi Wang, Liyuan Liu, Jiawei Han:
Graph Clustering with Dynamic Embedding. CoRR abs/1712.08249 (2017) - 2016
- [c4]Leyuan Wang, Yangzihao Wang, Carl Yang, John D. Owens:
A Comparative Study on Exact Triangle Counting Algorithms on the GPU. HPGP@HPDC 2016: 1-8 - [c3]Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, Carl Yang, John D. Owens, Marcin Zalewski, Timothy G. Mattson, José E. Moreira:
Mathematical foundations of the GraphBLAS. HPEC 2016: 1-9 - [i2]Jeremy Kepner, Peter Aaltonen, David A. Bader, Aydin Buluç, Franz Franchetti, John R. Gilbert, Dylan Hutchison, Manoj Kumar, Andrew Lumsdaine, Henning Meyerhenke, Scott McMillan, José E. Moreira, John D. Owens, Carl Yang, Marcin Zalewski, Timothy G. Mattson:
Mathematical Foundations of the GraphBLAS. CoRR abs/1606.05790 (2016) - 2015
- [c2]Yuduo Wu, Yangzihao Wang, Yuechao Pan, Carl Yang, John D. Owens:
Performance Characterization of High-Level Programming Models for GPU Graph Analytics. IISWC 2015: 66-75 - [c1]Carl Yang, Yangzihao Wang, John D. Owens:
Fast Sparse Matrix and Sparse Vector Multiplication Algorithm on the GPU. IPDPS Workshops 2015: 841-847 - [i1]Yuechao Pan, Yangzihao Wang, Yuduo Wu, Carl Yang, John D. Owens:
Multi-GPU Graph Analytics. CoRR abs/1504.04804 (2015)
Coauthor Index
a service of 
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2022-05-18 22:57 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp has been originally created in 1993 at:
since 2018, dblp is operated and maintained by:
the dblp computer science bibliography is funded and supported by:
