From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale
Contrastive Learning Approach

From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach

11 February 2022

Ming Jin

Yi-Ping Phoebe Chen

Papers citing "From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach"

4 / 4 papers shown

Title
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 42 8 0 21 Jun 2024
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 19 24 0 29 May 2023
Projective Ranking-based GNN Evasion Attacks He Zhang Xingliang Yuan Chuan Zhou Shirui Pan AAML 42 23 0 25 Feb 2022
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 19 5 0 29 Sep 2021