Yuxiao Dong
Title
Cited by
Cited by
Year
metapath2vec: Scalable Representation Learning for Heterogeneous Networks
Y Dong, NV Chawla, A Swami
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
9822017
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec
J Qiu, Y Dong, H Ma, J Li, K Wang, J Tang
Proceedings of the 11th ACM International Conference on Web Search and Data …, 2018
4642018
Link prediction and recommendation across heterogeneous social networks
Y Dong, J Tang, S Wu, J Tian, NV Chawla, J Rao, H Cao
2012 IEEE 12th International Conference on Data Mining, 181-190, 2012
2622012
Open graph benchmark: Datasets for machine learning on graphs
W Hu, M Fey, M Zitnik, Y Dong, H Ren, B Liu, M Catasta, J Leskovec
Advances in Neural Information Processing Systems 33, 2020
2182020
DeepInf: Social Influence Prediction with Deep Learning
J Qiu, J Tang, H Ma, Y Dong, K Wang, J Tang
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
211*2018
Inferring user demographics and social strategies in mobile social networks
Y Dong, Y Yang, J Tang, Y Yang, NV Chawla
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
2032014
A link clustering based overlapping community detection algorithm
C Shi, Y Cai, D Fu, Y Dong, B Wu
Data & Knowledge Engineering 87, 394-404, 2013
1342013
Heterogeneous Graph Transformer
Z Hu, Y Dong, K Wang, Y Sun
Proceedings of The Web Conference 2020, 2704-2710, 2020
992020
Will this paper increase your h-index?: Scientific impact prediction
Y Dong, RA Johnson, NV Chawla
Proceedings of the eighth ACM international conference on web search and …, 2015
892015
CoupledLP: Link Prediction in Coupled Networks
Y Dong, J Zhang, J Tang, NV Chawla, B Wang
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
842015
Can scientific impact be predicted?
Y Dong, RA Johnson, NV Chawla
IEEE Transactions on Big Data 2 (1), 18-30, 2016
792016
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
J Qiu, Q Chen, Y Dong, J Zhang, H Yang, M Ding, K Wang, J Tang
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
782020
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
J Qiu, Y Dong, H Ma, J Li, C Wang, K Wang, J Tang
The World Wide Web Conference, 1509-1520, 2019
702019
Microsoft Academic Graph: When experts are not enough
K Wang, Z Shen, C Huang, CH Wu, Y Dong, A Kanakia
Quantitative Science Studies 1 (1), 396-413, 2020
692020
A Century of Science: Globalization of Scientific Collaborations, Citations, and Innovations
Y Dong, H Ma, Z Shen, K Wang
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
682017
Inferring unusual crowd events from mobile phone call detail records
Y Dong, F Pinelli, Y Gkoufas, Z Nabi, F Calabrese, NV Chawla
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2015
552015
GPT-GNN: Generative Pre-Training of Graph Neural Networks
Z Hu, Y Dong, K Wang, KW Chang, Y Sun
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
502020
ProNE: Fast and Scalable Network Representation Learning
J Zhang, Y Dong, Y Wang, J Tang, M Ding
Proceedings of the Twenty-Eighth International Joint Conference on …, 2019
482019
A Review of Microsoft Academic Services for Science of Science Studies
K Wang, Z Shen, CY Huang, CH Wu, D Eide, Y Dong, J Qian, A Kanakia, ...
Frontiers in Big Data 2, 45, 2019
452019
Neural Tensor Factorization for Temporal Interaction Learning
X Wu, B Shi, Y Dong, C Huang, NV Chawla
Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019
43*2019
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