Lianghao Xia

发表

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Zhong Li, Chao Huang, Lianghao Xia, 2022, ArXiv.

Knowledge Graph Contrastive Learning for Recommendation

Chenliang Li, Chao Huang, Lianghao Xia, 2022, ArXiv.

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Zhong Li, Chao Huang, Lianghao Xia, 2022, ArXiv.

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Zhong Li, Chao Huang, Lianghao Xia, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE).

Knowledge Graph Contrastive Learning for Recommendation

Chenliang Li, Chao Huang, Lianghao Xia, 2022, SIGIR.

Hypergraph Contrastive Collaborative Filtering

Jiashu Zhao, Dawei Yin, Chao Huang, 2022, SIGIR.

Self-Supervised Hypergraph Transformer for Recommender Systems

Chao Huang, Lianghao Xia, Chuxu Zhang, 2022, KDD.

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network pdf

Chao Huang, Yu Zheng, Junbo Zhang, 2021, AAAI.

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

Xiangji Huang, Chao Huang, Liefeng Bo, 2021, AAAI.

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

Jian Pei, Chao Huang, Liefeng Bo, 2021, AAAI.

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

Chao Huang, Peng Dai, Yong Xu, 2020, SIGIR.

Multi-Behavior Graph Neural Networks for Recommender System

Liefeng Bo, Chao Huang, Lianghao Xia, 2022, IEEE Transactions on Neural Networks and Learning Systems.

Knowledge-aware Coupled Graph Neural Network for Social Recommendation pdf

Yanfang Ye, Chao Huang, Liefeng Bo, 2021, AAAI.

Graph Masked Autoencoder for Sequential Recommendation

Chao Huang, Lianghao Xia, Yaowen Ye, 2023, ArXiv.

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Chao Huang, Lianghao Xia, Xubin Ren, 2023, ArXiv.

Heterogeneous Graph Contrastive Learning for Recommendation

Chao Huang, Lianghao Xia, Yong Xu, 2023, WSDM.

Multi-Modal Self-Supervised Learning for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, WWW.

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

Jiashu Zhao, Dawei Yin, Chao Huang, 2022, WSDM.

Graph Meta Network for Multi-Behavior Recommendation

Chao Huang, Liefeng Bo, Peng Dai, 2021, SIGIR.

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

Chao Huang, Liefeng Bo, Peng Dai, 2021, 2021 IEEE 37th International Conference on Data Engineering (ICDE).

Disentangled Contrastive Collaborative Filtering

Jiashu Zhao, Dawei Yin, Chao Huang, 2023, arXiv.org.

Automated Self-Supervised Learning for Recommendation

Chao Huang, Lianghao Xia, Ben Kao, 2023, WWW.

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Chao Huang, Lianghao Xia, Xubin Ren, 2023, ICLR.

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

Chenliang Li, Chao Huang, Lianghao Xia, 2022, KDD.

Graph Transformer for Recommendation

Chao Li, Chao Huang, Lianghao Xia, 2023, SIGIR.

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

Liefeng Bo, Peng Dai, Lianghao Xia, 2021, IJCAI.

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

Chao Huang, Lianghao Xia, Yong Xu, 2020, CIKM.

Automated Spatio-Temporal Graph Contrastive Learning

Zheng Wang, Qianru Zhang, Chao Huang, 2023, WWW.

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation

Zheng Wang, Qianru Zhang, Chao Huang, 2023, ArXiv.

Multi-Behavior Sequential Recommendation With Temporal Graph Transformer

Chao Huang, Lianghao Xia, Yong Xu, 2022, IEEE Transactions on Knowledge and Data Engineering.

Multi-Modal Self-Supervised Learning for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, WWW.

Knowledge Graph Self-Supervised Rationalization for Recommendation

Chao Huang, Lianghao Xia, Chunzhen Huang, 2023, KDD.

Denoised Self-Augmented Learning for Social Recommendation

Chao Huang, Lianghao Xia, Tianle Wang, 2023, International Joint Conference on Artificial Intelligence.

SSLRec: A Self-Supervised Learning Library for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, ArXiv.

Social Recommendation with Self-Supervised Metagraph Informax Network

Liefeng Bo, Peng Dai, Lianghao Xia, 2021, CIKM.

Disentangled Graph Social Recommendation

Chao Huang, Lianghao Xia, Yong Xu, 2023, 2023 IEEE 39th International Conference on Data Engineering (ICDE).

Representation Learning with Large Language Models for Recommendation

Lianghao Xia, Suqi Cheng, Xubin Ren, 2023, WWW.

GraphPro: Graph Pre-training and Prompt Learning for Recommendation

Chao Huang, Lianghao Xia, Kangyi Lin, 2023, WWW.

Graph-less Collaborative Filtering

Chao Huang, Lianghao Xia, Yong Xu, 2023, WWW.

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

Chao Huang, Dawei Yin, Lianghao Xia, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

UrbanGPT: Spatio-Temporal Large Language Models

Lianghao Xia, Yong Xu, Zhonghang Li, 2024, arXiv.org.

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

Chao Huang, Lianghao Xia, Yong Xu, 2024, ArXiv.

GraphEdit: Large Language Models for Graph Structure Learning

Lianghao Xia, Wei Wei, Chao Huang, 2024, ArXiv.

Heterogeneous Graph Contrastive Learning for Recommendation

Chao Huang, Lianghao Xia, Yong Xu, 2023, WSDM.

RecDiff: Diffusion Model for Social Recommendation

Chao Huang, Lianghao Xia, Zongwei Li, 2024, 2406.01629.

DiffKG: Knowledge Graph Diffusion Model for Recommendation

Chao Huang, Lianghao Xia, Ya Jiang, 2023, WSDM.

Disentangled Contrastive Collaborative Filtering

Jiashu Zhao, Dawei Yin, Chao Huang, 2023, SIGIR.

Self-Supervised Learning for Recommendation

Xiangnan He, Xiang Wang, Dawei Yin, 2022, CIKM.

Debiased Contrastive Learning for Sequential Recommendation

Chao Huang, Lianghao Xia, Dave Luo, 2023, The Web Conference.

A Comprehensive Survey on Self-Supervised Learning for Recommendation

Lianghao Xia, Xubin Ren, Wei Wei, 2024, ArXiv.

SSLRec: A Self-Supervised Learning Framework for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, WSDM.

Graph Masked Autoencoder for Sequential Recommendation

Chao Huang, Lianghao Xia, Yaowen Ye, 2023, SIGIR.

Multi-Relational Contrastive Learning for Recommendation

Wei Wei, Chao Huang, Lianghao Xia, 2023, RecSys.