graph anomaly detection

LG-FGAD: An Effective Federated Graph Anomaly Detection Framework IJCAI 2024 Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy NeurIPS 2024 Robust Heterophilic Graph Learning against Label Noise for Anomaly Detection IJCAI 2024 UniGAD: Unifying Multi-level Graph Anomaly Detection NeurIPS 2024 Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification IJCAI 2023 Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment AAAI 2023 Detecting Anomalous Networks of Opioid Prescribers and Dispensers in Prescription Drug Data AAAI 2023 Energy Transformer NeurIPS 2023 GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection NeurIPS 2023 Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View AAAI 2023 Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection NeurIPS 2023 DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection NeurIPS 2022 AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN IJCAI 2019 Uncovering Specific-Shape Graph Anomalies in Attributed Graphs AAAI 2019 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 Subgraph Detection Using Eigenvector L1 Norms NeurIPS 2010