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2020 – today
- 2024
[c9]Xubin Ren
, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. KDD 2024: 6616-6626- [c8]Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang:
SSLRec: A Self-Supervised Learning Framework for Recommendation. WSDM 2024: 567-575 - [c7]Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
LLMRec: Large Language Models with Graph Augmentation for Recommendation. WSDM 2024: 806-815 - [c6]Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla:
Large Language Models for Graphs: Progresses and Directions. WWW (Companion Volume) 2024: 1284-1287 - [c5]Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
Representation Learning with Large Language Models for Recommendation. WWW 2024: 3464-3475 - [i13]Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang:
A Comprehensive Survey on Self-Supervised Learning for Recommendation. CoRR abs/2404.03354 (2024) - [i12]Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang:
A Survey of Large Language Models for Graphs. CoRR abs/2405.08011 (2024) - [i11]Qiyao Ma, Xubin Ren, Chao Huang:
XRec: Large Language Models for Explainable Recommendation. CoRR abs/2406.02377 (2024) - [i10]Xubin Ren, Chao Huang:
EasyRec: Simple yet Effective Language Models for Recommendation. CoRR abs/2408.08821 (2024) - 2023
- [j1]Jing Yi, Xubin Ren, Zhenzhong Chen:
Multi-auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation. ACM Trans. Inf. Syst. 41(4): 106:1-106:25 (2023) - [c4]Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang:
How Expressive are Graph Neural Networks in Recommendation? CIKM 2023: 173-182 - [c3]Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren:
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. ICLR 2023 - [c2]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. SIGIR 2023: 1137-1146 - [c1]Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. SIGIR 2023: 1680-1689 - [i9]Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren:
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. CoRR abs/2302.08191 (2023) - [i8]Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang:
Disentangled Contrastive Collaborative Filtering. CoRR abs/2305.02759 (2023) - [i7]Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. CoRR abs/2306.02330 (2023) - [i6]Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang:
SSLRec: A Self-Supervised Learning Library for Recommendation. CoRR abs/2308.05697 (2023) - [i5]Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang:
How Expressive are Graph Neural Networks in Recommendation? CoRR abs/2308.11127 (2023) - [i4]Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
Representation Learning with Large Language Models for Recommendation. CoRR abs/2310.15950 (2023) - [i3]Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang:
LLMRec: Large Language Models with Graph Augmentation for Recommendation. CoRR abs/2311.00423 (2023) - 2022
- [i2]Jing Yi, Xubin Ren, Zhenzhong Chen:
Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation. CoRR abs/2204.09422 (2022) - [i1]Yaochen Zhu, Xubin Ren, Jing Yi, Zhenzhong Chen:
Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention. CoRR abs/2205.14380 (2022)
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