Alternatives and similar repositories for gnn_feature_selection_extraction

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

• mwcvitkovic / Supervised-Learning-on-Relational-Databases-with-GNNs
  Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.
  ☆63Updated 5 years ago
• mcao516 / Autoregressive-VAE
  Transformer-based autoregressive varitional autoencoder
  ☆11Updated 5 years ago
• divelab / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆68Updated 3 years ago
• cimeister / pu-learning
  Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning
  ☆91Updated last year
• skepsun / SAGN_with_SLE
  ☆38Updated 4 years ago
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆63Updated 3 years ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆34Updated 3 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 4 years ago
• rootlu / L2P-GNN
  Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"
  ☆89Updated 4 years ago
• Radical3-HeZhang / Awesome-Trustworthy-GNNs
  ☆98Updated last year
• BorealisAI / SLAPS-GNN
  PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"
  ☆89Updated 4 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• uta-smile / HGCN
  ☆12Updated 4 years ago
• dglai / WSDM2022-Challenge
  WSDM2022 Challenge - Large scale temporal graph link prediction
  ☆38Updated 3 years ago
• moranbel / tdGraphEmbed
  ☆22Updated 2 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 5 years ago
• StatsDLMathsRecomSys / Self-attention-with-Functional-Time-Representation-Learning
  ☆50Updated 2 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• WilliamCCHuang / GraphLIME
  This is a Pytorch implementation of GraphLIME
  ☆94Updated 3 years ago
• qjf42 / AttentionPathExplainer
  A tool to help understand how GNN/BERT works by attention
  ☆15Updated 5 years ago
• LARS-research / TabGNN
  ☆51Updated 4 years ago
• maxiaoba / GRAPE
  ☆144Updated 4 years ago
• ntucllab / imbalanced-DL
  A Python Package for Deep Imbalanced Learning
  ☆57Updated 3 months ago
• TianXieUSC / GraphHop
  ☆20Updated 3 years ago
• qema / bidyn
  ☆21Updated 4 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆31Updated 2 years ago
• cyber-meow / PUbiasedN
  PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
  ☆19Updated last year
• zhao-tong / SDM2023_Graph_Data_Augmentation_Tutorial
  Materials for SDM 2023 tutorial: Augmentation Methods for Graph Learning
  ☆21Updated 2 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