activity
20222024
most citedSelf-Supervised Hypergraph Transformer for Recommender Systems

158 citations · 170 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG20241 cited

Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns

Zheyuan Zhang, Zehong Wang, Shifu Hou +7

The opioid crisis has been one of the most critical society concerns in the United States. Although the medication assisted treatment (MAT) is recognized as the most effective trea…

cs.LG20242 cited

UGMAE: A Unified Framework for Graph Masked Autoencoders

Yijun Tian, Chuxu Zhang, Ziyi Kou +3

Generative self-supervised learning on graphs, particularly graph masked autoencoders, has emerged as a popular learning paradigm and demonstrated its efficacy in handling non-Eucl…

cs.LG20241 cited

Subgraph Pooling: Tackling Negative Transfer on Graphs

Zehong Wang, Zheyuan Zhang, Chuxu Zhang +1

Transfer learning aims to enhance performance on a target task by using knowledge from related tasks. However, when the source and target tasks are not closely aligned, it can lead…

cs.LG20238 cited

Knowledge Distillation on Graphs: A Survey

Yijun Tian, Shichao Pei, Xiangliang Zhang +2

Graph Neural Networks (GNNs) have attracted tremendous attention by demonstrating their capability to handle graph data. However, they are difficult to be deployed in resource-limi…

cs.IR2022158 cited

Self-Supervised Hypergraph Transformer for Recommender Systems

Lianghao Xia, Chao Huang, Chuxu Zhang

Graph Neural Networks (GNNs) have been shown as promising solutions for collaborative filtering (CF) with the modeling of user-item interaction graphs. The key idea of existing GNN…