[NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection
☆30Jul 18, 2024Updated last year
Alternatives and similar repositories for SIGNET
Users that are interested in SIGNET are comparing it to the libraries listed below
Sorting:
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆30Feb 10, 2026Updated 2 weeks ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Oct 6, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆62Aug 19, 2025Updated 6 months ago
- Implementation of the paper Deep Graph-level Anomaly Detection by Glocal Knowledge Distillation(WSDM22)☆35Dec 12, 2021Updated 4 years ago
- Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"☆45Apr 28, 2024Updated last year
- Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"☆23Jun 7, 2025Updated 8 months ago
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆12Feb 10, 2023Updated 3 years ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆13May 9, 2024Updated last year
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated last year
- An official source code for paper "Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning", accepted by AC…☆12Dec 1, 2023Updated 2 years ago
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆16Jul 2, 2023Updated 2 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated last year
- [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation☆16Sep 20, 2024Updated last year
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Jun 15, 2023Updated 2 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34May 12, 2023Updated 2 years ago
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆17Aug 28, 2023Updated 2 years ago
- Official code for RawNP (ECML-PKDD 2023)☆20Feb 21, 2025Updated last year
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆19Mar 21, 2024Updated last year
- [IEEE Intelligent Systems] Awesome-Graph-augmented-LLM-Agent (GLA)☆62Nov 17, 2025Updated 3 months ago
- Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022☆25Jun 3, 2022Updated 3 years ago
- The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".☆18Sep 26, 2023Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆38Nov 27, 2023Updated 2 years ago
- ☆31Jul 10, 2025Updated 7 months ago
- Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion☆43Oct 4, 2024Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43May 24, 2023Updated 2 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆66Dec 1, 2023Updated 2 years ago
- ☆10Mar 11, 2023Updated 2 years ago
- ☆23Mar 15, 2024Updated last year
- ☆28Dec 6, 2024Updated last year
- Official PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"☆46Sep 20, 2025Updated 5 months ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Nov 1, 2023Updated 2 years ago
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- ☆14Mar 2, 2023Updated 3 years ago
- This code is for paper "HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection" and is currently u…☆13Apr 13, 2025Updated 10 months ago
- Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)☆15Dec 4, 2025Updated 2 months ago
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆62Aug 13, 2025Updated 6 months ago
- DeepSphere for Anomaly Detection☆14May 31, 2019Updated 6 years ago