☆30Dec 6, 2024Updated last year
Alternatives and similar repositories for UniGAD
Users that are interested in UniGAD are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"☆66Aug 13, 2025Updated 9 months ago
- Official Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"☆23Jun 7, 2025Updated last year
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆18Oct 6, 2023Updated 2 years ago
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆11Feb 10, 2023Updated 3 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆34Feb 10, 2026Updated 4 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆34Jul 15, 2025Updated 10 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆147Jun 25, 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
- ☆20Dec 30, 2025Updated 5 months ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated last year
- Official PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"☆52Sep 20, 2025Updated 8 months ago
- "Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport" in ICDE 2023☆18Oct 23, 2023Updated 2 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆46Mar 2, 2023Updated 3 years ago
- ☆18Mar 15, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.☆19Aug 28, 2023Updated 2 years ago
- code for progressive gsl☆12Jan 15, 2026Updated 4 months ago
- Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022☆22Mar 14, 2023Updated 3 years ago
- ☆16Sep 4, 2025Updated 9 months ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Nov 6, 2023Updated 2 years ago
- ☆12Jan 10, 2023Updated 3 years ago
- "GraphArena: Evaluating and Exploring Large Language Models on Graph Computation" in ICLR 2025☆34Mar 2, 2025Updated last year
- ☆33Jul 10, 2025Updated 11 months ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆54Nov 23, 2022Updated 3 years ago
- This is official project in our paper: Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers☆31Jan 13, 2024Updated 2 years ago
- Official PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".☆43Mar 7, 2026Updated 3 months ago
- Tools for Web Learning of Tsinghua University.☆10Sep 17, 2024Updated last year
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆63Jun 3, 2026Updated last week
- ☆11May 31, 2018Updated 8 years ago
- ☆36Aug 25, 2024Updated last year
- The Implemention of "Adversarial Attack on Community Detection by Hiding Individuals"☆13Oct 13, 2020Updated 5 years ago
- Accepted by Neurl Networks☆12May 11, 2026Updated 3 weeks ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A tensorflow implementation of self attentive graph embedding (SAGE) in WWW 2019☆15Jun 5, 2019Updated 7 years ago
- Codeable Models aims to provide an easy-to-use API for coding software design models akin to UML models, but radically simplified compare…☆12Nov 14, 2023Updated 2 years ago
- [NeurIPS 2025] PANDA: Towards Generalist Video Anomaly Detection via Agentic AI Engineer☆33Oct 2, 2025Updated 8 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆47Oct 23, 2024Updated last year
- This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".☆22Jan 4, 2022Updated 4 years ago
- Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)☆16Dec 4, 2025Updated 6 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆73Oct 28, 2024Updated last year