| 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, 2023 | 56 | 2023 |
| Toward Degree Bias in Embedding-Based Knowledge Graph Completion H Shomer, W Jin, W Wang, J Tang Proceedings of the ACM Web Conference 2023, 705-715, 2023 | 29 | 2023 |
| 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 (ICLR), 2024 | 24 | 2024 |
| 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 Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 23 | 2023 |
| Learning Representations for Hyper-Relational Knowledge Graphs H Shomer, W Jin, J Li, Y Ma, J Tang IEEE/ACM International Conference on Advances in Social Networks Analysis …, 2023 | 16 | 2023 |
| Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals J Dacon, H Shomer, S Crum-Dacon, J Tang NAACL 2022: Queer In AI Workshop, 2022 | 10 | 2022 |
| Mixture of Link Predictors on Graphs L Ma, H Han, J Li, H Shomer, H Liu, X Gao, J Tang The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 7* | 2024 |
| LPFormer: An Adaptive Graph Transformer for Link Prediction H Shomer, Y Ma, H Mao, J Li, B Wu, J Tang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 5* | 2024 |
| Distance-Based Propagation for Efficient Knowledge Graph Reasoning H Shomer, Y Ma, J Li, B Wu, CC Aggarwal, J Tang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
| Retrieval-Augmented Generation with Graphs (GraphRAG) H Han, Y Wang, H Shomer, K Guo, J Ding, Y Lei, M Halappanavar, ... arXiv preprint arXiv:2501.00309, 2024 | 3 | 2024 |
| 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 |
| Expression‐based machine learning models for predicting plant tissue identity S Palande, J Arsenault, P Basurto‐Lozada, A Bleich, BNI Brown, ... Applications in Plant Sciences, e11621, 2025 | 2* | 2025 |
| A Mix-up Strategy to Enhance Adversarial Training with Imbalanced Data W Wang*, H Shomer*, Y Wan, Y Li, J Huang, H Liu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |
| A LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization Y Chu, H Li, K Yang, H Shomer, H Liu, Y Copur-Gencturk, J Tang arXiv preprint arXiv:2410.02165, 2024 | | 2024 |
| Sub-graph Based Diffusion Model for Link Prediction H Li, W Jin, G Skenderi, H Shomer, W Tang, W Fan, J Tang arXiv preprint arXiv:2409.08487, 2024 | | 2024 |
| Towards Better Benchmark Datasets for Inductive Knowledge Graph Completion H Shomer, J Revolinsky, J Tang arXiv preprint arXiv:2406.11898, 2024 | | 2024 |
| Understanding the Generalizability of Link Predictors Under Distribution Shifts on Graphs J Revolinsky*, H Shomer*, J Tang arXiv preprint arXiv:2406.08788, 2024 | | 2024 |
