| Multi-behavior recommendation with graph convolutional networks B Jin, C Gao, X He, D Jin, Y Li SIGIR 2020, 659-668, 2020 | 382 | 2020 |
| Large language models on graphs: A comprehensive survey B Jin, G Liu, C Han, M Jiang, H Ji, J Han IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2023 | 147 | 2023 |
| Patton: Language Model Pretraining on Text-Rich Networks B Jin, W Zhang, Y Zhang, Y Meng, X Zhang, Q Zhu, J Han ACL 2023, 2023 | 52 | 2023 |
| Heterformer: Transformer-based deep node representation learning on heterogeneous text-rich networks B Jin, Y Zhang, Q Zhu, J Han Proceedings of the 29th ACM SIGKDD conference on knowledge discovery and …, 2023 | 50* | 2023 |
| Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs B Jin, C Xie, J Zhang, KK Roy, Y Zhang, S Wang, Y Meng, J Han ACL 2024, 2024 | 44 | 2024 |
| Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks B Jin, Y Zhang, Y Meng, J Han ICLR 2023, 2023 | 36 | 2023 |
| Scalable and Effective Generative Information Retrieval H Zeng, C Luo, B Jin, SM Sarwar, T Wei, H Zamani WWW 2024, 2023 | 33 | 2023 |
| Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models P Jiang, S Agarwal, B Jin, X Wang, J Sun, J Han Findings of ACL 2023, 2023 | 27 | 2023 |
| The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study Y Zhang, B Jin, Q Zhu, Y Meng, J Han WWW 2023, 2023 | 24 | 2023 |
| Language Models As Semantic Indexers B Jin, H Zeng, G Wang, X Chen, T Wei, R Li, Z Wang, Z Li, Y Li, H Lu, ... ICML 2024, 2023 | 23 | 2023 |
| A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery Y Zhang*, X Chen*, B Jin*, S Wang, S Ji, W Wang, J Han EMNLP 2024, 2024 | 22 | 2024 |
| Towards unified multi-modal personalization: Large vision-language models for generative recommendation and beyond T Wei, B Jin, R Li, H Zeng, Z Wang, J Sun, Q Yin, H Lu, S Wang, J He, ... ICLR 2024, 2024 | 19* | 2024 |
| Ram-ehr: Retrieval augmentation meets clinical predictions on electronic health records R Xu, W Shi, Y Yu, Y Zhuang, B Jin, MD Wang, JC Ho, C Yang ACL 2024, 2024 | 19 | 2024 |
| Long-context llms meet RAG: Overcoming challenges for long inputs in RAG B Jin, J Yoon, J Han, SO Arik ICLR 2025, 2024 | 16 | 2024 |
| Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers Y Zhang, B Jin, X Chen, Y Shen, Y Zhang, Y Meng, J Han KDD 2023, 2023 | 12 | 2023 |
| Learning Multiplex Embeddings on Text-rich Networks with One Text Encoder B Jin, W Zhang, Y Zhang, Y Meng, H Zhao, J Han NeurIPs 2023 GraphFrontier, 2023 | 10 | 2023 |
| Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy SK Kang, S Agarwal, B Jin, D Lee, H Yu, J Han WWW 2024, 2024 | 5 | 2024 |
| Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction S Zhou, Y Meng, B Jin, J Han EMNLP 2024, 2024 | 5 | 2024 |
| Geospatial topological relation extraction from text with knowledge augmentation W Hu, B Jin, M Jiang, S Zhou, Z Wang, J Han, S Wang Proceedings of the 2024 SIAM international conference on data mining (SDM …, 2024 | 3 | 2024 |
| Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? Z Li, L Zheng, B Jin, D Fu, B Jing, Y Ban, J He, J Han arXiv preprint arXiv:2412.08174, 2024 | 2 | 2024 |
