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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
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Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Published in AAAI 2021, 2021
Top 6% Most-Cited Papers of AAAI 2021 (among 1692 Accepted Papers), Citation 210+
Recommended citation: L. Xia, C. Huang, Y. Xu, P. Dai, M. Lu and L. Bo
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Graph Meta Network for Multi-Behavior Recommendation
Published in SIGIR 2021, 2021
Most Influential Papers of SIGIR 2021 (Rank 13 / 151), Citation 200+
Recommended citation: L. Xia, Y. Xu, C. Huang, P. Dai and L. Bo
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Contrastive Meta Learning with Behavior Multiplicity for Recommendation
Published in WSDM 2022, 2022
Best Paper Nomination & Most Cited Papers of WSDM 2022 (Rank 3 / 159)
Recommended citation: W. Wei, C. Huang, L. Xia, Y. Xu, J. Zhao, D. Yin
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Hypergraph Contrastive Collaborative Filtering
Published in SIGIR 2022, 2022
Most Influential Papers of SIGIR 2022 (Rank 3 / 161), Citation 360+
Recommended citation: L. Xia, C. Huang, Y. Xu, J. Zhao, D. Yin and J. Huang
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Knowledge Graph Contrastive Learning for Recommendation
Published in SIGIR 2022, 2022
Most Influential Papers of SIGIR 2022 (Rank 2 / 161)
Recommended citation: Y. Yang, C. Huang, L. Xia and C. Li
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Self-Supervised Hypergraph Transformer for Recommender Systems
Published in KDD 2022, 2022
Top 7% Most-Cited Papers of KDD 2022, Citation 110+
Recommended citation: L. Xia, C. Huang and C. Zhang
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Disentangled Graph Social Recommendation
Published in ICDE 2023, 2023
Top 8% Most-Cited Papers of ICDE 2023
Recommended citation: L. Xia, Y. Shao, C. Huang, Y. Xu, H. Xu and J. Pei
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Automated Self-Supervised Learning for Recommendation
Published in WWW 2023, 2023
Spotlight Paper & Best Paper Nomination (16 / 323), Most Influential Papers of WWW 2023 (Rank 10 / 323)
Recommended citation: L. Xia, C. Huang, C.Z. Huang, K. Lin, T. Yu and B. Kao
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Graph-less Collaborative Filtering
Published in WWW 2023, 2023
Top 10% Most-Cited Papers of WWW 2023
Recommended citation: L. Xia, C. Huang, J. Shi and Y. Xu
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LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Published in ICLR 2023, 2023
Selected as Spotlight Paper (Top 25%)
Recommended citation: X. Cai, C. Huang, L. Xia and X. Ren
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RLMRec: Representation Learning with Large Language Models for Recommendation
Published in WWW 2024, 2024
Most Influential Papers of WWW 2024 (Rank 1 / 405)
Recommended citation: X. Ren, W. Wei, L. Xia, L. Su, S. Cheng, J. Wang, D. Yin and C. Huang
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UrbanGPT: Spatio-Temporal Large Language Models
Published in KDD 2024, 2024
Most Influential Papers of KDD 2024 (Rank 10 / 559)
Recommended citation: Z. Li, L. Xia, J. Tang, Y. Xu, L. Xia, D. Yin, and C. Huang
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LightRAG: Simple and Fast Retrieval-Augmented Generation
Published in Under Review, 2024
Receives over 12k GitHub Stars
Recommended citation: Z. Guo, L. Xia, Y. Yu, T. Ao, and C. Huang
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DiffMM: Multi-Modal Diffusion Model for Recommendation
Published in ACM MM 2024, 2024
Best Paper Nomination & Honorable Mention Award
Recommended citation: Y. Jiang, L. Xia, W. Wei, D. Luo, K. Lin, and C. Huang
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OpenGraph: Towards Open Graph Foundation Models
Published in EMNLP 2024, 2024
One of the First Graph Foundation Models, GitHub Star 300+
Recommended citation: L. Xia, B. Kao, and C. Huang
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