LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation X Cai, C Huang, L Xia, X Ren ICLR 2023, 2023 | 234 | 2023 |
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, 2024 | 130 | 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, 2024 | 88 | 2024 |
Disentangled Contrastive Collaborative Filtering X Ren, L Xia, J Zhao, D Yin, C Huang SIGIR 2023, 2023 | 71 | 2023 |
Graph Transformer for Recommendation C Li, L Xia, X Ren, Y Ye, Y Xu, C Huang SIGIR 2023, 2023 | 33 | 2023 |
SSLRec: A Self-Supervised Learning Framework for Recommendation X Ren, L Xia, Y Yang, W Wei, T Wang, X Cai, C Huang WSDM 2024, 2024 | 26* | 2024 |
A Survey of Large Language Models for Graphs X Ren, J Tang, D Yin, N Chawla, C Huang KDD 2024, 2024 | 14 | 2024 |
A Comprehensive Survey on Self-Supervised Learning for Recommendation X Ren, W Wei, L Xia, C Huang arXiv 2024, 2024 | 8 | 2024 |
XRec: Large Language Models for Explainable Recommendation Q Ma, X Ren, C Huang EMNLP 2024, 2024 | 7 | 2024 |
Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation J Yi, X Ren, Z Chen TOIS 2023, 2023 | 6 | 2023 |
How Expressive are Graph Neural Networks in Recommendation? X Cai, L Xia, X Ren, C Huang CIKM 2023, 2023 | 4 | 2023 |
Large Language Models for Graphs: Progresses and Directions C Huang, X Ren, J Tang, D Yin, N Chawla WWW 2024, 2024 | 3 | 2024 |
Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention Y Zhu, X Ren, J Yi, Z Chen arXiv 2022, 2022 | 2 | 2022 |
EasyRec: Simple yet Effective Language Models for Recommendation X Ren, C Huang arXiv 2024, 2024 | | 2024 |