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20212024
most citedRobust Mid-Pass Filtering Graph Convolutional Networks

39 citations · 76 across the 10 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SI2023

Professional Network Matters: Connections Empower Person-Job Fit

Hao Chen, Lun Du, Yuxuan Lu +6

Online recruitment platforms typically employ Person-Job Fit models in the core service that automatically match suitable job seekers with appropriate job positions. While existing…

cs.CV2023

Text-to-Image Generation for Abstract Concepts

Jiayi Liao, Xu Chen, Qiang Fu +5

Recent years have witnessed the substantial progress of large-scale models across various domains, such as natural language processing and computer vision, facilitating the express…

cs.IR2023★ 1 cited

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering

Jiayan Guo, Lun Du, Xu Chen +5

Collaborative filtering (CF) is an important research direction in recommender systems that aims to make recommendations given the information on user-item interactions. Graph CF h…

cs.LG2023

Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention

Hongjun Wang, Jiyuan Chen, Lun Du +3

Recent years have witnessed the great potential of attention mechanism in graph representation learning. However, while variants of attention-based GNNs are setting new benchmarks…

cs.LG2023★ 39 cited

Robust Mid-Pass Filtering Graph Convolutional Networks

Jincheng Huang, Lun Du, Xu Chen +3

Graph convolutional networks (GCNs) are currently the most promising paradigm for dealing with graph-structure data, while recent studies have also shown that GCNs are vulnerable t…