Towards self-interpretable graph-level anomaly detection

Y Liu, K Ding, Q Lu, F Li… - Advances in Neural …, 2024 - proceedings.neurips.cc
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable
dissimilarity compared to the majority in a collection. However, current works primarily focus …
被引用次数：19 相关文章

Towards Self-Interpretable Graph-Level Anomaly Detection

Y Liu, K Ding, Q Lu, F Li, LY Zhang, S Pan - arXiv preprint arXiv …, 2023 - arxiv.org
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable
dissimilarity compared to the majority in a collection. However, current works primarily focus …

Towards Self-Interpretable Graph-Level Anomaly Detection

Y Liu, K Ding, Q Lu, F Li, LY Zhang, S Pan - Thirty-seventh Conference on … - openreview.net
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable
dissimilarity compared to the majority in a collection. However, current works primarily focus …

Towards Self-Interpretable Graph-Level Anomaly Detection

Y Liu, K Ding, Q Lu, F Li, LY Zhang, S Pan - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable
dissimilarity compared to the majority in a collection. However, current works primarily focus …

Towards self-interpretable graph-level anomaly detection

Y Liu, K Ding, Q Lu, F Li, LY Zhang, S Pan - Proceedings of the 37th …, 2023 - dl.acm.org
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable
dissimilarity compared to the majority in a collection. However, current works primarily focus …

Towards Self-Interpretable Graph-Level Anomaly Detection

Y Liu, K Ding, Q Lu, F Li, LY Zhang, S Pan - CoRR, 2023 - openreview.net
Graph-level anomaly detection (GLAD) aims to identify graphs that exhibit notable
dissimilarity compared to the majority in a collection. However, current works primarily focus …