| Multi-behavior recommendation with graph convolutional networks B Jin, C Gao, X He, D Jin, Y Li SIGIR 2020, 659-668, 2020 | 287 | 2020 |
| Large language models on graphs: A comprehensive survey B Jin, G Liu, C Han, M Jiang, H Ji, J Han arXiv preprint arXiv:2312.02783, 2023 | 47 | 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 | 29 | 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 | 23* | 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 | 20 | 2023 |
| Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks B Jin, Y Zhang, Y Meng, J Han ICLR 2023, 2023 | 18 | 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 | 13 | 2023 |
| Scalable and Effective Generative Information Retrieval H Zeng, C Luo, B Jin, SM Sarwar, T Wei, H Zamani WWW 2024, 2023 | 8 | 2023 |
| 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 | 6 | 2023 |
| 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 | 5* | 2024 |
| 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 | 5 | 2023 |
| 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 | 4 | 2024 |
| 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 | 2 | 2024 |
| 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 | 2 | 2023 |
| 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 | 1 | 2024 |
| " Why Should I Review This Paper?" Unifying Semantic, Topic, and Citation Factors for Paper-Reviewer Matching Y Zhang, Y Shen, X Chen, B Jin, J Han arXiv preprint arXiv:2310.14483, 2023 | 1 | 2023 |
| Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks J Yang, Z Liu, B Jin, J Lian, D Lian, A Soni, EY Kang, Y Wang, G Sun, ... arXiv preprint arXiv:2104.10925, 2021 | 1 | 2021 |
| Parameter-Efficient Tuning Large Language Models for Graph Representation Learning Q Zhu, D Zheng, X Song, S Zhang, B Jin, Y Sun, G Karypis arXiv preprint arXiv:2404.18271, 2024 | | 2024 |
| 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 | | 2024 |
| Bridging Text Data and Graph Data: Towards Semantics and Structure-aware Knowledge Discovery B Jin, Y Zhang, S Li, J Han Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | | 2024 |
