b'Lianghao Xia'

research

∙ 09/03/2023

Multi-Relational Contrastive Learning for Recommendation

Personalized recommender systems play a crucial role in capturing users'...

0 Wei Wei, et al. ∙

research

∙ 08/22/2023

How Expressive are Graph Neural Networks in Recommendation?

Graph Neural Networks (GNNs) have demonstrated superior performance on v...

0 Xuheng Cai, et al. ∙

research

∙ 08/10/2023

SSLRec: A Self-Supervised Learning Library for Recommendation

Self-supervised learning (SSL) has gained significant interest in recent...

0 Xubin Ren, et al. ∙

research

∙ 07/06/2023

Knowledge Graph Self-Supervised Rationalization for Recommendation

In this paper, we introduce a new self-supervised rationalization method...

0 Yuhao Yang, et al. ∙

research

∙ 06/19/2023

Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation

Spatial-temporal graph learning has emerged as a promising solution for ...

0 Qianru Zhang, et al. ∙

research

∙ 06/04/2023

Graph Transformer for Recommendation

This paper presents a novel approach to representation learning in recom...

0 Chaoliu Li, et al. ∙

research

∙ 05/22/2023

Denoised Self-Augmented Learning for Social Recommendation

Social recommendation is gaining increasing attention in various online ...

0 Tianle Wang, et al. ∙

research

∙ 05/18/2023

Adaptive Graph Contrastive Learning for Recommendation

Recently, graph neural networks (GNNs) have been successfully applied to...

0 Yangqin Jiang, et al. ∙

research

∙ 05/08/2023

Graph Masked Autoencoder for Sequential Recommendation

While some powerful neural network architectures (e.g., Transformer, Gra...

0 Yaowen Ye, et al. ∙

research

∙ 05/04/2023

Disentangled Contrastive Collaborative Filtering

Recent studies show that graph neural networks (GNNs) are prevalent to m...

0 Xubin Ren, et al. ∙

research

∙ 03/21/2023

Debiased Contrastive Learning for Sequential Recommendation

Current sequential recommender systems are proposed to tackle the dynami...

0 Yuhao Yang, et al. ∙

research

∙ 03/15/2023

Graph-less Collaborative Filtering

Graph neural networks (GNNs) have shown the power in representation lear...

0 Lianghao Xia, et al. ∙

research

∙ 03/14/2023

Disentangled Graph Social Recommendation

Social recommender systems have drawn a lot of attention in many online ...

0 Lianghao Xia, et al. ∙

research

∙ 03/14/2023

Automated Self-Supervised Learning for Recommendation

Graph neural networks (GNNs) have emerged as the state-of-the-art paradi...

0 Lianghao Xia, et al. ∙

research

∙ 03/02/2023

Heterogeneous Graph Contrastive Learning for Recommendation

Graph Neural Networks (GNNs) have become powerful tools in modeling grap...

0 Mengru Chen, et al. ∙

research

∙ 02/21/2023

Multi-Modal Self-Supervised Learning for Recommendation

The online emergence of multi-modal sharing platforms (eg, TikTok, Youtu...

0 Wei Wei, et al. ∙

research

∙ 02/17/2023

Multi-Behavior Graph Neural Networks for Recommender System

Recommender systems have been demonstrated to be effective to meet user'...

0 Lianghao Xia, et al. ∙

research

∙ 02/16/2023

LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation

Graph neural network (GNN) is a powerful learning approach for graph-bas...

0 Xuheng Cai, et al. ∙

research

∙ 07/28/2022

Self-Supervised Hypergraph Transformer for Recommender Systems

Graph Neural Networks (GNNs) have been shown as promising solutions for ...

0 Lianghao Xia, et al. ∙

research

∙ 07/12/2022

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation

Learning dynamic user preference has become an increasingly important co...

0 Yuhao Yang, et al. ∙

research

∙ 06/06/2022

Multi-Behavior Sequential Recommendation with Temporal Graph Transformer

Modeling time-evolving preferences of users with their sequential item i...

0 Lianghao Xia, et al. ∙

research

∙ 05/02/2022

Knowledge Graph Contrastive Learning for Recommendation

Knowledge Graphs (KGs) have been utilized as useful side information to ...

0 Yuhao Yang, et al. ∙

research

∙ 04/26/2022

Hypergraph Contrastive Collaborative Filtering

Collaborative Filtering (CF) has emerged as fundamental paradigms for pa...

0 Lianghao Xia, et al. ∙

research

∙ 04/18/2022

Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction

Crime has become a major concern in many cities, which calls for the ris...

0 Zhonghang Li, et al. ∙

research

∙ 02/17/2022

Contrastive Meta Learning with Behavior Multiplicity for Recommendation

A well-informed recommendation framework could not only help users ident...

0 Wei Wei, et al. ∙

research

∙ 01/07/2022

Spatial-Temporal Sequential Hypergraph Network for Crime Prediction

Crime prediction is crucial for public safety and resource optimization,...

9 Lianghao Xia, et al. ∙

research

∙ 01/07/2022

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

Many previous studies aim to augment collaborative filtering with deep n...

0 Lianghao Xia, et al. ∙

research

∙ 10/08/2021

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks

Social recommendation which aims to leverage social connections among us...

0 Huance Xu, et al. ∙

research

∙ 10/08/2021

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

Accurate forecasting of citywide traffic flow has been playing critical ...

0 Xiyue Zhang, et al. ∙

research

∙ 10/08/2021

Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network

Capturing users' precise preferences is of great importance in various r...

0 Lianghao Xia, et al. ∙

research

∙ 10/08/2021

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

Accurate user and item embedding learning is crucial for modern recommen...

0 Lianghao Xia, et al. ∙

research

∙ 10/08/2021

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

Session-based recommendation plays a central role in a wide spectrum of ...

0 Chao Huang, et al. ∙

research

∙ 10/08/2021

Knowledge-aware Coupled Graph Neural Network for Social Recommendation

Social recommendation task aims to predict users' preferences over items...

0 Chao Huang, et al. ∙

research

∙ 10/08/2021

Graph Meta Network for Multi-Behavior Recommendation

Modern recommender systems often embed users and items into low-dimensio...

0 Lianghao Xia, et al. ∙

research

∙ 10/08/2021

Social Recommendation with Self-Supervised Metagraph Informax Network

In recent years, researchers attempt to utilize online social informatio...

0 Xiaoling Long, et al. ∙

Lianghao Xia

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