danielzuegner / robust-gcn

Related projects: ⓘ

• abojchevski / node_embedding_attack
  Adversarial Attacks on Node Embeddings via Graph Poisoning
  ☆59Updated 4 years ago
• chentingpc / gfn
  Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"
  ☆51Updated 4 years ago
• Kaixiong-Zhou / DGN
  Pytorch implementation of differentiable group normalization (NeurIPS 2020)
  ☆37Updated 3 years ago
• abojchevski / graph_cert
  Certifiable Robustness to Graph Perturbations
  ☆13Updated 4 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆71Updated last year
• lukasjf / contrastive-gnn-explanation
  ☆18Updated last year
• lhenry15 / Policy-GNN
  ☆41Updated this week
• lxiaorui / ElasticGNN
  Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"
  ☆40Updated 3 years ago
• vwz / AGE
  Active Learning for Graph Embedding
  ☆33Updated 7 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆20Updated 3 years ago
• nikhil-dce / SBM-meet-GNN
  Implementation of SBM-meet-GNN
  ☆22Updated 5 years ago
• sigvae / SIGraphVAE
  ☆25Updated 4 years ago
• CODE-SUBMIT / Graph_Neighborhood_1
  First and Complementary Neighborhood Combination of Adjacency Matrix for Graph Learning
  ☆20Updated last year
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆47Updated 2 years ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆33Updated 3 years ago
• russchua / Graph-Isomorphism-Networks
  A Tensorflow 2.0 implementation of Graph Isomorphism Networks.
  ☆52Updated 5 years ago
• FFTYYY / TWIRLS
  The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".
  ☆43Updated 3 years ago
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆57Updated last year
• devnkong / FLAG
  Official implementation of our FLAG paper (CVPR2022)
  ☆139Updated 2 years ago
• joeybose / Flexible-Fairness-Constraints
  Code for ICML2019 Paper "Compositional Invariance Constraints for Graph Embeddings"
  ☆48Updated 4 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year
• gear / gfnn
  Graph Filter Neural Network (ICPR'20)
  ☆45Updated 4 years ago
• danielzuegner / robust-gcn-structure
  ☆12Updated 3 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆36Updated 3 years ago
• AiRyunn / BoT
  Implementation of "Bag of Tricks for Node Classification with Graph Neural Networks" based on DGL
  ☆35Updated last year
• abojchevski / sparse_smoothing
  Implementation of the certificates proposed in the paper "Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized …
  ☆35Updated last year
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• ppope / explain_graphs
  Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …
  ☆34Updated last month
• TaoShuchang / G-NIA
  G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
  ☆24Updated 2 years ago
• sunfanyunn / graph-classification
  A collection of graph classification methods
  ☆40Updated 3 years ago