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20172023
most citedFake News Detection on Social Media: A Data Mining Perspective

601 citations · 952 across the 25 of their papers we have counts for

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7 papers · 1 filter

cs.LG2023

MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection

Xiongxiao Xu, Kaize Ding, Canyu Chen +1

Graph anomaly detection has long been an important problem in various domains pertaining to information security such as financial fraud, social spam and network intrusion. The maj…

cs.LG20231 cited

TAP: A Comprehensive Data Repository for Traffic Accident Prediction in Road Networks

Baixiang Huang, Bryan Hooi, Kai Shu

Road safety is a major global public health concern. Effective traffic crash prediction can play a critical role in reducing road traffic accidents. However, Existing machine learn…

cs.LG20211 cited

Enhancing Model Robustness and Fairness with Causality: A Regularization Approach

Zhao Wang, Kai Shu, Aron Culotta

Recent work has raised concerns on the risk of spurious correlations and unintended biases in statistical machine learning models that threaten model robustness and fairness. In th…

cs.LG2021

Labeled Data Generation with Inexact Supervision

Enyan Dai, Kai Shu, Yiwei Sun +1

The recent advanced deep learning techniques have shown the promising results in various domains such as computer vision and natural language processing. The success of deep neural…

cs.LG2020

Graph Prototypical Networks for Few-shot Learning on Attributed Networks

Kaize Ding, Jianling Wang, Jundong Li +3

Attributed networks nowadays are ubiquitous in a myriad of high-impact applications, such as social network analysis, financial fraud detection, and drug discovery. As a central an…

cs.LG20208 cited

Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News

Kai Shu, Guoqing Zheng, Yichuan Li +4

Social media has greatly enabled people to participate in online activities at an unprecedented rate. However, this unrestricted access also exacerbates the spread of misinformatio…