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
  ☆59Updated last month
• kayzliu / godm
  Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models
  ☆10Updated 2 weeks ago
• squareRoot3 / GADBench
  "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023
  ☆132Updated last year
• graph-level-anomalies / iGAD
  ☆12Updated 2 years ago
• yixinliu233 / SIGNET
  [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection
  ☆26Updated last year
• yixinliu233 / G-OOD-D
  [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection
  ☆43Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆56Updated last year
• 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
• mala-lab / GGAD
  Official implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"
  ☆58Updated last month
• 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
  ☆25Updated 10 months ago
• yixinliu233 / D2PT
  [KDD'23] Learning Strong Graph Neural Networks with Weak Information
  ☆42Updated 2 years ago
• qiaoyu-tan / S2GAE
  ☆49Updated 2 years ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• wenzhilics / GraphSHA
  "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23
  ☆31Updated last year
• Zjer12 / Sub
  ☆14Updated 2 years ago
• D10Andy / SAD
  ☆30Updated 2 years ago
• yanliang3612 / ReVar
  Code for Revar, NeurIPS 2023.
  ☆12Updated 4 months ago
• NineAbyss / ZeroG
  The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
  ☆33Updated last year
• Xtra-Computing / ConsisGAD
  ☆23Updated last year
• EnyanDai / NRGNN
  Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…
  ☆43Updated 3 years ago
• yanliang3612 / awesome-imbalanced-learning-on-graphs
  A repository contains a collection of resources and papers on Imbalance Learning On Graphs
  ☆92Updated 3 months ago
• QueuQ / CGLB
  ☆59Updated 10 months ago
• TrustAGI-Lab / CoLA
  [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
  ☆94Updated 4 years ago
• graphprojects / CM-GCL
  Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”
  ☆20Updated 2 years ago
• snap-research / linkless-link-prediction
  [ICML 2023] Linkless Link Prediction via Relational Distillation
  ☆24Updated last year
• pygod-team / data
  Data repository for PyGOD
  ☆43Updated last year
• W-rudder / TEA-GLM
  ☆43Updated 10 months ago
• tengxiao1 / Awesome-Graph-Contrastive-Learning-with-Heterophily
  Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily
  ☆37Updated last year
• yongduosui / AIA
  [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…
  ☆17Updated last year