| Heterogeneous graph neural network C Zhang, D Song, C Huang, A Swami, NV Chawla KDD 2019 (🌟 Top-3 Most Influential Papers), 2019 | 2000 | 2019 |
| Knowledge Graph Contrastive Learning for Recommendation Y Yang, C Huang, L Xia, C Li SIGIR 2022 (🌟 Top-2 Most Influential Papers), 2022 | 555 | 2022 |
| Hypergraph Contrastive Collaborative Filtering L Xia, C Huang, Y Xu, J Zhao, D Yin, JX Huang SIGIR 2022 (🌟 Top-3 Most Influential Papers), 2022 | 553 | 2022 |
| LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation X Cai, C Huang, L Xia, X Ren ICLR 2023, 2023 | 525 | 2023 |
| 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 | 406 | 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 | 403 | 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 | 350 | 2024 |
| 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 | 319 | 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 | 285 | 2021 |
| Few-shot knowledge graph completion C Zhang, H Yao, C Huang, M Jiang, Z Li, NV Chawla AAAI 2020, 2020 | 283 | 2020 |
| 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 | 278 | 2023 |
| 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 | 278 | 2021 |
| 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 | 277 | 2021 |
| Lightrag: Simple and fast retrieval-augmented generation Z Guo, L Xia, Y Yu, T Ao, C Huang EMNLP 2025, 2025 | 267 | 2025 |
| Multi-Modal Self-Supervised Learning for Recommendation W Wei, C Huang, L Xia, C Zhang WWW 2023 (🌟 Top-5 Most Influential Papers), 2023 | 255 | 2023 |
| 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 | 246 | 2021 |
| Contrastive Meta Learning with Behavior Multiplicity for Recommendation W Wei, C Huang, L Xia, Y Xu, J Zhao, D Yin WSDM 2022 (🌟 Best Paper Nomination & Top-3 Most Cited Papers), 2022 | 245 | 2022 |
| 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 | 237 | 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 | 227* | 2025 |
| Adaptive Graph Contrastive Learning for Recommendation Y Jiang, C Huang, L Xia KDD 2023 (🌟 Top-8 Most Influential Papers), 2023 | 218 | 2023 |
Lianghao XiaProfessor, Harbin Institute of Technology (Shenzhen)Verified email at hit.edu.cn
