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20212024
most citedRobust Mid-Pass Filtering Graph Convolutional Networks

39 citations · 105 across the 9 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CL2023★ 1 cited

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Xinyi He, Mengyu Zhou, Xinrun Xu +9

Tabular data analysis is crucial in various fields, and large language models show promise in this area. However, current research mostly focuses on rudimentary tasks like Text2SQL…

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.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.SI2023★ 36 cited

Homophily-oriented Heterogeneous Graph Rewiring

Jiayan Guo, Lun Du, Wendong Bi +6

With the rapid development of the World Wide Web (WWW), heterogeneous graphs (HG) have explosive growth. Recently, heterogeneous graph neural network (HGNN) has shown great potenti…

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…