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	Title	Author(s)	Issue Date
	Denoised Self-Augmented Learning for Social Recommendation Proceeding/Conference:IJCAI International Joint Conference on Artificial Intelligence	Wang, TianleXia, LianghaoHuang, Chao	2023
	Graph Masked Autoencoder for Sequential Recommendation Proceeding/Conference:SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval	Ye, YaowenXia, LianghaoHuang, Chao	2023
	Knowledge Graph Self-Supervised Rationalization for Recommendation Proceeding/Conference:Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining	Yang, YuhaoHuang, ChaoXia, LianghaoHuang, Chunzhen	2023
	Disentangled Graph Social Recommendation Proceeding/Conference:Proceedings - International Conference on Data Engineering	Xia, LianghaoShao, YizhenHuang, ChaoXu, YongXu, HuancePei, Jian	2023
	Disentangled Contrastive Collaborative Filtering Proceeding/Conference:SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval	Ren, XubinXia, LianghaoZhao, JiashuYin, DaweiHuang, Chao	2023
	Graph Transformer for Recommendation Proceeding/Conference:SIGIR 2023 - Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval	Li, ChaoliuXia, LianghaoRen, XubinYe, YaowenXu, YongHuang, Chao	2023
	Multi-Modal Self-Supervised Learning for Recommendation Proceeding/Conference:ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023	Wei, WeiHuang, ChaoXia, LianghaoZhang, Chuxu	2023
	Automated Spatio-Temporal Graph Contrastive Learning Proceeding/Conference:ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023	Zhang, QianruHuang, ChaoXia, LianghaoWang, ZhengLi, ZhonghangYiu, Siuming	2023
	Self-Supervised Learning for Recommendation Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings	Huang, ChaoXia, LianghaoWang, XiangHe, XiangnanYin, Dawei	2022
	Heterogeneous Graph Contrastive Learning for Recommendation Proceeding/Conference:WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining	Chen, MengruHuang, ChaoXia, LianghaoWei, WeiXu, YongLuo, Ronghua	2023
	Self-Supervised Hypergraph Transformer for Recommender Systems Proceeding/Conference:Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining	Xia, LianghaoHuang, ChaoZhang, Chuxu	2022
	Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation Proceeding/Conference:Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining	Yang, YuhaoHuang, ChaoXia, LianghaoLiang, YuxuanYu, YanweiLi, Chenliang	2022
	Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network Proceeding/Conference:35th AAAI Conference on Artificial Intelligence, AAAI 2021	Zhang, XiyueHuang, ChaoXu, YongXia, LianghaoDai, PengBo, LiefengZhang, JunboZheng, Yu	2021
	Knowledge Graph Contrastive Learning for Recommendation Proceeding/Conference:SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval	Yang, YuhaoHuang, ChaoXia, LianghaoLi, Chenliang	2022
	Contrastive meta learning with behavior multiplicity for recommendation Proceeding/Conference:WSDM 2022 - Proceedings of the 15th ACM International Conference on Web Search and Data Mining	Wei, WeiHuang, ChaoXia, LianghaoXu, YongZhao, JiashuYin, Dawei	2022
	Hypergraph Contrastive Collaborative Filtering Proceeding/Conference:SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval	Xia, LianghaoHuang, ChaoXu, YongZhao, JiashuYin, DaweiHuang, Jimmy	2022
	Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction Proceeding/Conference:Proceedings - International Conference on Data Engineering	Li, ZhonghangHuang, ChaoXia, LianghaoXu, YongPei, Jian	2022
	Knowledge-aware Coupled Graph Neural Network for Social Recommendation Proceeding/Conference:35th AAAI Conference on Artificial Intelligence, AAAI 2021	Huang, ChaoXu, HuanceXu, YongDai, PengXia, LianghaoLu, MengyinBo, LiefengXing, HaoLai, XiaopingYe, Yanfang	2021
	Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation Proceeding/Conference:35th AAAI Conference on Artificial Intelligence, AAAI 2021	Huang, ChaoChen, JiahuiXia, LianghaoXu, YongDai, PengChen, YanqingBo, LiefengZhao, JiashuHuang, Jimmy Xiangji	2021
	DiffMM: Multi-Modal Diffusion Model for Recommendation Proceeding/Conference:MM 2024 - Proceedings of the 32nd ACM International Conference on Multimedia	Jiang, YangqinXia, LianghaoWei, WeiLuo, DaLin, KangyiHuang, Chao	2024