| Heterogeneous graph neural network C Zhang, D Song, C Huang, A Swami, NV Chawla KDD 2019 (🌟 Top-3 Most Influential Papers), 2019 | 2318 | 2019 |
| Lightrag: Simple and fast retrieval-augmented generation Z Guo, L Xia, Y Yu, T Ao, C Huang EMNLP 2025, 2025 | 948 | 2025 |
| LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation X Cai, C Huang, L Xia, X Ren ICLR 2023, 2023 | 716 | 2023 |
| Hypergraph Contrastive Collaborative Filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, JX Huang SIGIR 2022 (🌟 Top-3 Most Influential Papers), 2022 | 703 | 2022 |
| Knowledge Graph Contrastive Learning for Recommendation Y Yang, C Huang, L Xia, C Li SIGIR 2022 (🌟 Top-2 Most Influential Papers), 2022 | 700 | 2022 |
| Graphgpt: Graph instruction tuning for large language models J Tang, Y Yang, W Wei, L Shi, L Su, S Cheng, D Yin, C Huang SIGIR 2024 (🌟 Top-4 Most Influential Papers), 2024 | 652 | 2024 |
| LLMRec: Large Language Models with Graph Augmentation for Recommendation W Wei, X Ren, J Tang, Q Wang, L Su, S Cheng, J Wang, D Yin, C Huang WSDM 2024 (🌟 Top-1 Most Cited Papers), 2024 | 621 | 2024 |
| Representation Learning with Large Language Models for Recommendation X Ren, W Wei, L Xia, L Su, S Cheng, J Wang, D Yin, C Huang WWW 2024 (🌟 Top-1 Most Influential Paper), 2024 | 559 | 2024 |
| Justice or prejudice? quantifying biases in llm-as-a-judge J Ye, Y Wang, Y Huang, D Chen, Q Zhang, N Moniz, T Gao, W Geyer, ... ICLR 2025, 2025 | 552 | 2025 |
| Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction J Ji, J Wang, C Huang, J Wu, B Xu, Z Wu, J Zhang, Y Zheng AAAI 2023 (🌟 Top-11 Most Influential Papers), 2023 | 453 | 2023 |
| Urbangpt: Spatio-temporal large language models Z Li, L Xia, J Tang, Y Xu, L Shi, L Xia, D Yin, C Huang KDD 2024 (🌟 Top-6 Most Influential Papers), 2024 | 421 | 2024 |
| Multi-Modal Self-Supervised Learning for Recommendation W Wei, C Huang, L Xia, C Zhang WWW 2023 (🌟 Top-5 Most Influential Papers), 2023 | 385 | 2023 |
| Heterogeneous graph contrastive learning for recommendation M Chen, C Huang, L Xia, W Wei, Y Xu, R Luo WSDM 2023 (🌟 Top-1 Most Cited Paper), 2023 | 350 | 2023 |
| Knowledge-enhanced hierarchical graph transformer network for multi-behavior recommendation L Xia, C Huang, Y Xu, P Dai, X Zhang, H Yang, J Pei, L Bo AAAI 2021, 2021 | 336 | 2021 |
| Largest: A benchmark dataset for large-scale traffic forecasting X Liu, Y Xia, Y Liang, J Hu, Y Wang, L Bai, C Huang, Z Liu, B Hooi, ... NeurIPS 2023, 2023 | 324 | 2023 |
| Traffic flow forecasting with spatial-temporal graph diffusion network X Zhang, C Huang, Y Xu, L Xia, P Dai, L Bo, J Zhang, Y Zheng AAAI 2021, 2021 | 321 | 2021 |
| Graph meta network for multi-behavior recommendation L Xia, Y Xu, C Huang, P Dai, L Bo SIGIR 2021 (🌟 Top-13 Most Influential Papers), 2021 | 319 | 2021 |
| Few-shot knowledge graph completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla AAAI 2020, 2020 | 318 | 2020 |
| Knowledge-aware coupled graph neural network for social recommendation C Huang, H Xu, Y Xu, P Dai, L Xia, M Lu, L Bo, H Xing, X Lai, Y Ye AAAI 2021, 2021 | 304 | 2021 |
| Adaptive Graph Contrastive Learning for Recommendation Y Jiang, C Huang, L Xia KDD 2023 (🌟 Top-8 Most Influential Papers), 2023 | 298 | 2023 |
Lianghao XiaProfessor, Harbin Institute of Technology (Shenzhen)Verified email at hit.edu.cn
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
Dawei YinSenior Director, Head of Search Science at BaiduVerified email at baidu.com
Xubin RenThe University of Hong KongVerified email at connect.hku.hk
Yuhao YangUniversity of Hong KongVerified email at connect.hku.hk
Jiabin TangUniversity of Hong KongVerified email at connect.hku.hk
Jian PeiArthur S. Pearse Distinguished Professor, Duke UniversityVerified email at cs.sfu.ca
Ben KaoThe University of Hong KongVerified email at cs.hku.hk
Gregory MadeyResearch Professor of Computer Science & Engineering, University of Notre DameVerified email at nd.edu
Professor Xiangji Huang (Jimmy Huang)Tier 1 York Research Chair | CAE Fellow | IEEE Fellow | AAIA Fellow | ACM Distinguished ScientistVerified email at yorku.ca
Ananthram SwamiArmy Research Laboratory
