Alternatives and similar repositories for AugAN

Users that are interested in AugAN are comparing it to the libraries listed below

• UB-GOLD / UB-GOLD
  ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark
  ☆61Updated 2 months ago
• kayzliu / godm
  Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
  ☆10Updated last month
• yixinliu233 / SIGNET
  [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection
  ☆26Updated last year
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆133Updated last year
• yixinliu233 / G-OOD-D
  [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  ☆44Updated 2 years ago
• FelixDJC / GRADATE
  An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…
  ☆63Updated last year
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆43Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆56Updated last year
• zyzisastudyreallyhardguy / GOAL-Graph-Complementary-Learning
  The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…
  ☆15Updated 2 years ago
• yixinliu233 / ARC
  [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning
  ☆27Updated 11 months ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆53Updated 2 years ago
• mala-lab / GGAD
  Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
  ☆59Updated 2 months ago
• graph-level-anomalies / iGAD
  ☆12Updated 2 years ago
• yanliang3612 / awesome-imbalanced-learning-on-graphs
  A repository contains a collection of resources and papers on Imbalance Learning On Graphs
  ☆92Updated 5 months ago
• snap-research / linkless-link-prediction
  [ICML 2023] Linkless Link Prediction via Relational Distillation
  ☆24Updated 2 years ago
• qiaoyu-tan / S2GAE
  ☆49Updated 2 years ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆94Updated 4 years ago
• EnyanDai / NRGNN
  Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…
  ☆44Updated 3 years ago
• Xtra-Computing / ConsisGAD
  ☆23Updated last year
• Zjer12 / Sub
  ☆14Updated 2 years ago
• KellyGong / SparseGAD
  ☆18Updated 2 years ago
• graphprojects / CM-GCL
  Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
  ☆20Updated 2 years ago
• yanliang3612 / ReVar
  [NeurIPS 2023] The official implementation of "Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition…
  ☆12Updated last week
• QueuQ / CGLB
  ☆59Updated 11 months ago
• FelixDJC / Awesome-Graph-Anomaly-Detection
  A collection of papers for graph anomaly detection, and published algorithms and datasets.
  ☆129Updated last year
• shifengzhao / H2-FDetector
  ☆31Updated 3 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆86Updated 11 months ago
• D10Andy / SAD
  ☆31Updated 2 years ago
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆34Updated last year
• zjunet / GraphAdapter
  ☆26Updated last year