Alternatives and similar repositories for sgc_unlearn:

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

• mims-harvard / GNNDelete
  General Strategy for Unlearning in Graph Neural Networks
  ☆42Updated 2 years ago
• zjs123 / DTGB
  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs
  ☆30Updated 4 months ago
• EnyanDai / RSGNN
  An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))
  ☆33Updated 2 years ago
• CUAI / Non-Homophily-Large-Scale
  [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods
  ☆122Updated 2 years ago
• ispamm / FairDrop
  ☆14Updated 3 years ago
• Leirunlin / EvenNet
  Pytorch implementation of EvenNet.
  ☆19Updated 2 years ago
• Amanda-Zheng / SFGC
  Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"
  ☆30Updated last year
• wujcan / GIF-torch
  ☆22Updated 2 years ago
• EdisonLeeeee / GraphData
  A collection of graph data used for semi-supervised node classification.
  ☆39Updated 2 years ago
• yushundong / PyGDebias
  Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms
  ☆63Updated 10 months ago
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆26Updated 2 years ago
• Juanhui28 / HeaRT
  ☆54Updated 6 months ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆43Updated 2 years ago
• liun-online / SpCo
  The source code of SpCo
  ☆35Updated last year
• wuyucheng2002 / CTAug
  Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"
  ☆14Updated last year
• chirag-agarwall / nifty
  Code for paper https://arxiv.org/abs/2102.13186
  ☆44Updated 4 years ago
• ahxt / g-mixup
  [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification
  ☆102Updated last year
• BUPT-GAMMA / Uncovering-the-Structural-Fairness-in-Graph-Contrastive-Learning
  Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"
  ☆29Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆54Updated 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
• rollingstonezz / Curriculum_learning_for_GNNs
  This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"
  ☆15Updated last year
• NDS-VU / awesome-gnn-privacy
  This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…
  ☆23Updated last year
• likuanppd / STABLE
  source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".
  ☆28Updated 10 months ago
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆64Updated last year
• jma712 / GEAR
  ☆18Updated 3 years ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• zaixizhang / Graph_Transformer
  A pytorch implementation of graph transformer for node classification
  ☆30Updated last year
• susheels / adgcl
  Adversarial Graph Augmentation to Improve Graph Contrastive Learning
  ☆88Updated 3 years ago
• yuwvandy / FairVGNN
  ☆25Updated 2 years ago
• isail-laboratory / iDEA-iSAIL-Reading-Group
  ☆26Updated 3 weeks ago