Lianghao Xia

According to our database, Lianghao Xia authored at least 61 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Behavior Graph Neural Networks for Recommender System.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo

IEEE Trans. Neural Networks Learn. Syst., April, 2024

LightRAG: Simple and Fast Retrieval-Augmented Generation.

Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang

CoRR, 2024

AnyGraph: Graph Foundation Model in the Wild.

Lianghao Xia, Chao Huang

CoRR, 2024

A Comprehensive Survey on Self-Supervised Learning for Recommendation.

Xubin Ren, Wei Wei, Lianghao Xia, Chao Huang

CoRR, 2024

GraphEdit: Large Language Models for Graph Structure Learning.

Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang

CoRR, 2024

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning.

Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang

Proceedings of the ACM on Web Conference 2024, 2024

Representation Learning with Large Language Models for Recommendation.

Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang

Proceedings of the ACM on Web Conference 2024, 2024

GraphPro: Graph Pre-training and Prompt Learning for Recommendation.

Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang

Proceedings of the ACM on Web Conference 2024, 2024

SSLRec: A Self-Supervised Learning Framework for Recommendation.

Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

DiffKG: Knowledge Graph Diffusion Model for Recommendation.

Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation.

Yuxi Liu, Lianghao Xia, Chao Huang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

DiffMM: Multi-Modal Diffusion Model for Recommendation.

Yangqin Jiang, Lianghao Xia, Wei Wei, Da Luo, Kangyi Lin, Chao Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

UrbanGPT: Spatio-Temporal Large Language Models.

Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction.

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Graph Augmentation for Recommendation.

Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

OpenGraph: Towards Open Graph Foundation Models.

Lianghao Xia, Ben Kao, Chao Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EasyST: A Simple Framework for Spatio-Temporal Prediction.

Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

RecDiff: Diffusion Model for Social Recommendation.

Zongwei Li, Lianghao Xia, Chao Huang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Multi-Behavior Sequential Recommendation With Temporal Graph Transformer.

Lianghao Xia, Chao Huang, Yong Xu, Jian Pei

IEEE Trans. Knowl. Data Eng., June, 2023

Graph Pre-training and Prompt Learning for Recommendation.

Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang

CoRR, 2023

SSLRec: A Self-Supervised Learning Library for Recommendation.

Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang

CoRR, 2023

Adaptive Graph Contrastive Learning for Recommendation.

Yangqin Jiang, Chao Huang, Lianghao Xia

CoRR, 2023

Automated Spatio-Temporal Graph Contrastive Learning.

Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu

Proceedings of the ACM Web Conference 2023, 2023

Debiased Contrastive Learning for Sequential Recommendation.

Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin

Proceedings of the ACM Web Conference 2023, 2023

Graph-less Collaborative Filtering.

Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu

Proceedings of the ACM Web Conference 2023, 2023

Automated Self-Supervised Learning for Recommendation.

Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao

Proceedings of the ACM Web Conference 2023, 2023

Multi-Modal Self-Supervised Learning for Recommendation.

Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang

Proceedings of the ACM Web Conference 2023, 2023

Heterogeneous Graph Contrastive Learning for Recommendation.

Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Graph Masked Autoencoder for Sequential Recommendation.

Yaowen Ye, Lianghao Xia, Chao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Disentangled Contrastive Collaborative Filtering.

Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Graph Transformer for Recommendation.

Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-Relational Contrastive Learning for Recommendation.

Wei Wei, Lianghao Xia, Chao Huang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks.

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Knowledge Graph Self-Supervised Rationalization for Recommendation.

Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Denoised Self-Augmented Learning for Social Recommendation.

Tianle Wang, Lianghao Xia, Chao Huang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation.

Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han

Proceedings of the International Conference on Machine Learning, 2023

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation.

Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Disentangled Graph Social Recommendation.

Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Explainable Spatio-Temporal Graph Neural Networks.

Jiabin Tang, Lianghao Xia, Chao Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Spatio-Temporal Meta Contrastive Learning.

Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

How Expressive are Graph Neural Networks in Recommendation?

Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems.

Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang

ACM Trans. Inf. Syst., 2022

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen

CoRR, 2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation.

Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Knowledge Graph Contrastive Learning for Recommendation.

Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Hypergraph Contrastive Collaborative Filtering.

Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.

Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Self-Supervised Hypergraph Transformer for Recommender Systems.

Lianghao Xia, Chao Huang, Chuxu Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction.

Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Self-Supervised Learning for Recommendation.

Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Graph Meta Network for Multi-Behavior Recommendation.

Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Social Recommendation with Self-Supervised Metagraph Informax Network.

Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network.

Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Knowledge-aware Coupled Graph Neural Network for Social Recommendation.

Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation.

Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network.

Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks.

Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting.

Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020