| FORA: simple and effective approximate single-source personalized pagerank S Wang, R Yang, X Xiao, Z Wei, Y Yang Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 124 | 2017 |
| Homogeneous network embedding for massive graphs via reweighted personalized PageRank R Yang, J Shi, X Xiao, Y Yang, SS Bhowmick Proceedings of the VLDB Endowment 13 (5), 670-683, 2020 | 73 | 2020 |
| Efficient algorithms for approximate single-source personalized pagerank queries S Wang, R Yang, R Wang, X Xiao, Z Wei, W Lin, Y Yang, N Tang ACM Transactions on Database Systems (TODS) 44 (4), 1-37, 2019 | 49 | 2019 |
| Scaling Attributed Network Embedding to Massive Graphs R Yang, J Shi, X Xiao, Y Yang, J Liu, SS Bhowmick Proceedings of the VLDB Endowment 14 (1), 37-49, 2020 | 45 | 2020 |
| Realtime top-k personalized pagerank over large graphs on gpus J Shi, R Yang, T Jin, X Xiao, Y Yang Proceedings of the VLDB Endowment 13 (1), 15-28, 2019 | 40 | 2019 |
| Efficient estimation of heat kernel pagerank for local clustering R Yang, X Xiao, Z Wei, SS Bhowmick, J Zhao, RH Li Proceedings of the 2019 International Conference on Management of Data, 1339 …, 2019 | 31 | 2019 |
| Unconstrained submodular maximization with modular costs: Tight approximation and application to profit maximization T Jin, Y Yang, R Yang, J Shi, K Huang, X Xiao Proceedings of the VLDB Endowment 14 (10), 1756-1768, 2021 | 22 | 2021 |
| Realtime index-free single source SimRank processing on web-scale graphs J Shi, T Jin, R Yang, X Xiao, Y Yang Proceedings of the VLDB Endowment 13 (7), 966-978, 2020 | 20 | 2020 |
| Node-wise diffusion for scalable graph learning K Huang, J Tang, J Liu, R Yang, X Xiao Proceedings of the ACM Web Conference 2023, 1723-1733, 2023 | 16 | 2023 |
| Lscale: latent space clustering-based active learning for node classification J Liu, Y Wang, B Hooi, R Yang, X Xiao Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 15* | 2022 |
| Scalable and effective bipartite network embedding R Yang, J Shi, K Huang, X Xiao Proceedings of the 2022 International Conference on Management of Data, 1977 …, 2022 | 14 | 2022 |
| Effective and Scalable Clustering on Massive Attributed Graphs R Yang, J Shi, Y Yang, K Huang, S Zhang, X Xiao Proceedings of the Web Conference 2021, 3675-3687, 2021 | 14 | 2021 |
| Efficient and effective attributed hypergraph clustering via k-nearest neighbor augmentation Y Li, R Yang, J Shi Proceedings of the ACM on Management of Data 1 (2), 1-23, 2023 | 11 | 2023 |
| Efficient and effective similarity search over bipartite graphs R Yang Proceedings of the ACM Web Conference 2022, 308-318, 2022 | 9 | 2022 |
| Efficient and effective edge-wise graph representation learning H Wang, R Yang, K Huang, X Xiao Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 8 | 2023 |
| PANE: scalable and effective attributed network embedding R Yang, J Shi, X Xiao, Y Yang, SS Bhowmick, J Liu The VLDB Journal 32 (6), 1237-1262, 2023 | 6 | 2023 |
| SlotGAT: slot-based message passing for heterogeneous graphs Z Zhou, J Shi, R Yang, Y Zou, Q Li International Conference on Machine Learning, 42644-42657, 2023 | 6 | 2023 |
| Fast approximate all pairwise CoSimRanks via random projection R Yang, X Xiao International Conference on Web Information Systems Engineering, 438-452, 2021 | 5* | 2021 |
| Efficient High-Quality Clustering for Large Bipartite Graphs R Yang, J Shi Proceedings of the ACM on Management of Data 2 (1), 1-27, 2024 | 4 | 2024 |
| Efficient Estimation of Pairwise Effective Resistance R Yang, J Tang Proceedings of the ACM on Management of Data 1 (1), 1-27, 2023 | 4 | 2023 |
Xiaokui XiaoNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
