| Acekg: A large-scale knowledge graph for academic data mining R Wang, Y Yan, J Wang, Y Jia, Y Zhang, W Zhang, X Wang Proceedings of the 27th ACM international conference on information and …, 2018 | 112 | 2018 |
| Dynamic knowledge graph alignment Y Yan, L Liu, Y Ban, B Jing, H Tong Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4564-4572, 2021 | 79 | 2021 |
| Bright: A bridging algorithm for network alignment Y Yan, S Zhang, H Tong Proceedings of the Web Conference 2021, 3907-3917, 2021 | 55 | 2021 |
| EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits Y Ban, Y Yan, A Banerjee, J He arXiv preprint arXiv:2110.03177, 2021 | 25 | 2021 |
| Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders J Li, H Shao, D Sun, R Wang, Y Yan, J Li, S Liu, H Tong, T Abdelzaher Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 19 | 2022 |
| New Frontiers of Multi-Network Mining: Recent Developments and Future Trend B Du, S Zhang, Y Yan, H Tong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 19 | 2021 |
| COIN: Co-Cluster Infomax for Bipartite Graphs B Jing, Y Yan, Y Zhu, H Tong arXiv preprint arXiv:2206.00006, 2022 | 17 | 2022 |
| Dissecting Cross-Layer Dependency Inference on Multi-Layered Inter-Dependent Networks Y Yan, Q Zhou, J Li, T Abdelzaher, H Tong Proceedings of the 31st ACM International Conference on Information …, 2022 | 15 | 2022 |
| Reconciling Competing Sampling Strategies of Network Embedding Y Yan, B Jing, L Liu, R Wang, J Li, T Abdelzaher, H Tong Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 10 | 2023 |
| STERLING: Synergistic Representation Learning on Bipartite Graphs B Jing, Y Yan, K Ding, C Park, Y Zhu, H Liu, H Tong arXiv preprint arXiv:2302.05428, 2023 | 10 | 2023 |
| Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders D Wang, Y Yan, R Qiu, Y Zhu, K Guan, AJ Margenot, H Tong arXiv preprint arXiv:2305.18612, 2023 | 8 | 2023 |
| Neural Exploitation and Exploration of Contextual Bandits Y Ban, Y Yan, A Banerjee, J He arXiv preprint arXiv:2305.03784, 2023 | 6 | 2023 |
| From Trainable Negative Depth to Edge Heterophily in Graphs Y Yan, Y Chen, H Chen, M Xu, M Das, H Yang, H Tong Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 5 | 2023 |
| Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning R Wang, B Li, Y Lu, D Sun, J Li, Y Yan, S Liu, H Tong, TF Abdelzaher arXiv preprint arXiv:2306.07512, 2023 | 5 | 2023 |
| PaCEr: Network Embedding From Positional to Structural Y Yan, Y Hu, Q Zhou, L Liu, Z Zeng, Y Chen, M Pan, H Chen, M Das, ... Proceedings of the ACM on Web Conference 2024, 2485-2496, 2024 | 4 | 2024 |
| CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities S Roach, C Ni, A Kopylov, TC Lu, J Xu, S Zhang, B Du, D Zhou, J Wu, ... 2020 IEEE International Conference on Big Data (Big Data), 1634-1643, 2020 | 4 | 2020 |
| ReD-GCN: Revisit the Depth of Graph Convolutional Network Y Yan, Y Chen, M Das, H Yang, H Tong | | 2022 |
| SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter H Xu, Y Yan, D Wang, Z Xu, Z Zeng, TF Abdelzaher, J Han, H Tong Forty-first International Conference on Machine Learning, 0 | | |
