| Evaluating graph neural networks for link prediction: Current pitfalls and new benchmarking J Li, H Shomer, H Mao, S Zeng, Y Ma, N Shah, J Tang, D Yin Advances in Neural Information Processing Systems 36, 3853-3866, 2023 | 61 | 2023 |
| Discriminative metric learning for multi-view graph partitioning JH Li, CD Wang, PZ Li, JH Lai Pattern Recognition 75, 199-213, 2018 | 46 | 2018 |
| Attributed network embedding with micro-meso structure JH Li, L Huang, CD Wang, D Huang, JH Lai, P Chen ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (4), 1-26, 2021 | 33 | 2021 |
| Network embedding via community based variational autoencoder W Shi, L Huang, CD Wang, JH Li, Y Tang, C Fu IEEE Access 7, 25323-25333, 2019 | 25 | 2019 |
| Revisiting Link Prediction: A Data Perspective H Mao, J Li, H Shomer, B Li, W Fan, Y Ma, T Zhao, N Shah, J Tang The Twelfth International Conference on Learning Representations, 2024 | 22 | 2024 |
| Graph pooling with representativeness J Li, Y Ma, Y Wang, C Aggarwal, CD Wang, J Tang 2020 IEEE International Conference on Data Mining (ICDM), 302-311, 2020 | 20 | 2020 |
| Learning representations for hyper-relational knowledge graphs H Shomer, W Jin, J Li, Y Ma, H Liu Proceedings of the International Conference on Advances in Social Networks …, 2023 | 17 | 2023 |
| Are message passing neural networks really helpful for knowledge graph completion? J Li, H Shomer, J Ding, Y Wang, Y Ma, N Shah, J Tang, D Yin arXiv preprint arXiv:2205.10652, 2022 | 14 | 2022 |
| A SVM-based EEG signal analysis: An auxiliary therapy for tinnitus PZ Li, JH Li, CD Wang Advances in Brain Inspired Cognitive Systems: 8th International Conference …, 2016 | 13 | 2016 |
| LPFormer: An Adaptive Graph Transformer for Link Prediction H Shomer, Y Ma, H Mao, J Li, B Wu, J Tang ACM Knowledge Discovery and Data Mining, 2024 | 7* | 2024 |
| Graph enhanced bert for query understanding J Li, W Zeng, S Cheng, Y Ma, J Tang, S Wang, D Yin Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 7 | 2023 |
| Mixture of link predictors L Ma, H Han, J Li, H Shomer, H Liu, X Gao, J Tang arXiv e-prints, arXiv: 2402.08583, 2024 | 6 | 2024 |
| Node-wise filtering in graph neural networks: A mixture of experts approach H Han, J Li, W Huang, X Tang, H Lu, C Luo, H Liu, J Tang arXiv preprint arXiv:2406.03464, 2024 | 5 | 2024 |
| Distance-Based Propagation for Efficient Knowledge Graph Reasoning H Shomer, Y Ma, J Li, B Wu, CC Aggarwal, J Tang The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 4 | 2023 |
| Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation J Li, H Han, Z Chen, H Shomer, W Jin, A Javari, J Tang arXiv preprint arXiv:2402.08921, 2024 | 3 | 2024 |
| Community detection in complicated network based on the multi-view weighted signed permanence JH Li, PZ Li, CD Wang, JH Lai 2016 IEEE Trustcom/BigDataSE/ISPA, 1589-1596, 2016 | 3 | 2016 |
| From uni-relational to multi-relational graph neural networks J Li Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 1 | 2022 |
| Learning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data J Li, S Nag, H Liu, X Tang, S Sarwar, L Cui, H Gu, S Wang, Q He, J Tang arXiv preprint arXiv:2411.08028, 2024 | | 2024 |
| PartNRL: Partial Nodes Representation Learning in Large-Scale Network JH Li, L Huang, CD Wang, D Huang, JH Lai IEEE Access 7, 56457-56468, 2019 | | 2019 |