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	Title	Author(s)	Issue Date
	UrbanGPT: Spatio-Temporal Large Language Models Proceeding/Conference:Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining	Li, ZhonghangXia, LianghaoTang, JiabinXu, YongShi, LeiXia, LongYin, DaweiHuang, Chao	2024
	FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction Proceeding/Conference:Proceedings of Machine Learning Research	Li, ZhonghangXia, LianghaoXu, YongHuang, Chao	2024
	SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation Proceeding/Conference:SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval	Liu, YuxiXia, LianghaoHuang, Chao	2024
	LIGHTGCL: SIMPLE YET EFFECTIVE GRAPH CONTRASTIVE LEARNING FOR RECOMMENDATION Proceeding/Conference:11th International Conference on Learning Representations, ICLR 2023	Cai, XuhengHuang, ChaoXia, LianghaoRen, Xubin	2023
	Graph Augmentation for Recommendation Proceeding/Conference:Proceedings - International Conference on Data Engineering	Zhang, QianruXia, LianghaoCai, XuhengYiu, Siu MingHuang, ChaoJensen, Christian S.	2024
	Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation Proceeding/Conference:35th AAAI Conference on Artificial Intelligence, AAAI 2021	Xia, LianghaoHuang, ChaoXu, YongDai, PengZhang, XiyueYang, HongshengPei, JianBo, Liefeng	2021
	DiffKG: Knowledge Graph Diffusion Model for Recommendation Proceeding/Conference:WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining	Jiang, YangqinYang, YuhaoXia, LianghaoHuang, Chao	2024
	PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning Proceeding/Conference:WWW 2024 - Proceedings of the ACM Web Conference	Wei, WeiTang, JiabinXia, LianghaoJiang, YangqinHuang, Chao	2024
	GraphPro: Graph Pre-training and Prompt Learning for Recommendation Proceeding/Conference:WWW 2024 - Proceedings of the ACM Web Conference	Yang, YuhaoXia, LianghaoLuo, DaLin, KangyiHuang, Chao	2024
	SSLRec: A Self-Supervised Learning Framework for Recommendation Proceeding/Conference:WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining	Ren, XubinXia, LianghaoYang, YuhaoWei, WeiWang, TianleCai, XuhengHuang, Chao	2024
	GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks Proceeding/Conference:Advances in Neural Information Processing Systems	Li, ZhonghangXia, LianghaoXu, YongHuang, Chao	2023
	Representation Learning with Large Language Models for Recommendation Proceeding/Conference:WWW 2024 - Proceedings of the ACM Web Conference	Ren, XubinWei, WeiXia, LianghaoSu, LixinCheng, SuqiWang, JunfengYin, DaweiHuang, Chao	2024
	Spatio-Temporal Meta Contrastive Learning Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings	Tang, JiabinXia, LianghaoHu, JieHuang, Chao	2023
	How Expressive are Graph Neural Networks in Recommendation? Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings	Cai, XuhengXia, LianghaoRen, XubinHuang, Chao	2023
	Multi-Relational Contrastive Learning for Recommendation Proceeding/Conference:Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023	Wei, WeiXia, LianghaoHuang, Chao	2023
	Explainable Spatio-Temporal Graph Neural Networks Proceeding/Conference:International Conference on Information and Knowledge Management, Proceedings	Tang, JiabinXia, LianghaoHuang, Chao	2023
	Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation Proceeding/Conference:Proceedings of Machine Learning Research	Zhang, QianruHuang, ChaoXia, LianghaoWang, ZhengYiu, SiumingHan, Ruihua	2023
	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