Alternatives and similar repositories for graph_cert

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

• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 5 years ago
• abojchevski / node_embedding_attack
  Adversarial Attacks on Node Embeddings via Graph Poisoning
  ☆60Updated 6 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆23Updated 6 years ago
• chentingpc / gfn
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆53Updated 5 years ago
• devnkong / FLAG
  Official implementation of our FLAG paper (CVPR2022)
  ☆145Updated 3 years ago
• joeybose / Flexible-Fairness-Constraints
  Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
  ☆50Updated 5 years ago
• lukasjf / contrastive-gnn-explanation
  ☆19Updated 3 years ago
• danielzuegner / gnn-meta-attack
  Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
  ☆154Updated 4 years ago
• Hanjun-Dai / graph_adversarial_attack
  Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
  ☆130Updated 3 years ago
• PurdueMINDS / Equivalence
  Equivalence Between Structural Representations and Positional Node Embeddings
  ☆22Updated 5 years ago
• THUDM / grb
  Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…
  ☆98Updated 2 years ago
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆42Updated 4 years ago
• TaoShuchang / G-NIA
  G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
  ☆29Updated 3 years ago
• lxiaorui / AirGNN
  ☆22Updated 3 years ago
• EdisonLeeeee / GreatX
  A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
  ☆90Updated last year
• gear / gfnn
  Graph Filter Neural Network (ICPR'20)
  ☆48Updated 5 years ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆105Updated 5 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆49Updated 3 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 3 years ago
• ChandlerBang / pytorch-gnn-meta-attack
  Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
  ☆21Updated 4 years ago
• snap-stanford / GIB
  Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
  ☆138Updated 3 years ago
• yifan-h / CS-GNN
  Measuring and Improving the Use of Graph Information in Graph Neural Networks
  ☆83Updated last year
• brandeis-machine-learning / FairAdj
  Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections
  ☆12Updated 4 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆23Updated 5 years ago
• xguo7 / NEC-DGT
  This is the implementation and supplemental materials for paper "Deep Multi-attributed Graph Translation with Node-Edge Co-evolution"
  ☆17Updated 5 years ago
• CUAI / Non-Homophily-Benchmarks
  [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
  ☆116Updated 4 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆37Updated 4 years ago
• SwiftieH / IGNN
  Implicit Graph Neural Networks
  ☆64Updated 4 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 6 years ago