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

• mcao516 / Autoregressive-VAE
  Transformer-based autoregressive varitional autoencoder
  ☆12Updated 5 years ago
• qjf42 / AttentionPathExplainer
  A tool to help understand how GNN/BERT works by attention
  ☆15Updated 4 years ago
• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆35Updated 3 years ago
• niteshsukhwani / MLSMOTE
  Multi label Synthetic Minority Over-sampling Technique (MLSMOTE)
  ☆49Updated 4 years ago
• bhuvanakundumani / SimCSE_unsupervised
  ☆11Updated 3 years ago
• jamestszhim / modals
  MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
  ☆41Updated 4 years ago
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆31Updated last year
• plkumjorn / FIND
  Codes for the EMNLP 2020 paper -- "FIND: Human-in-the-loop Debugging Deep Text Classifiers"
  ☆18Updated 4 years ago
• GentleZhu / EGI
  Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
  ☆23Updated 3 years ago
• daiquocnguyen / Caps2NE
  A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
  ☆24Updated 4 years ago
• pd90506 / AMCF
  Explainable recommendation via interpretable feature mapping
  ☆18Updated 5 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• tapilab / aaai-2021-counterfactuals
  ☆15Updated 3 years ago
• zekarias-tilahun / graph-surgeon
  A PyTorch implementation of "Self-Supervised GNN that Jointly Learns to Augment" or "Jointly Learnable Data Augmentations for Self-Superv…
  ☆13Updated 3 years ago
• ChandlerBang / AutoSSL
  [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"
  ☆42Updated 2 years ago
• Mandeep-Rathee / Bagel-benchmark
  ☆19Updated 10 months ago
• deezer / fastgae
  Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Rem…
  ☆27Updated 3 years ago
• TianXieUSC / GraphHop
  ☆20Updated 3 years ago
• flyingdoog / DMGC
  Deep Multi-Graph Clustering via Attentive Cross-Graph Association
  ☆24Updated 5 years ago
• danishpruthi / evidence-extraction
  Code for paper: Weakly- and Semi-supervised Evidence Extraction
  ☆15Updated 4 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 4 years ago
• matenure / OTCoarsening
  Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport
  ☆37Updated 4 years ago
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆63Updated 2 years ago
• JunwenBai / DAPC
  Deep Autoencoding Predictive Components
  ☆10Updated 4 years ago
• FranxYao / PoincareProbe
  Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
  ☆58Updated 4 years ago
• cshjin / GCL
  List of Publications in Graph Contrastive Learning
  ☆35Updated 3 years ago
• NingAnMe / Label-Smoothing-for-CrossEntropyLoss-PyTorch
  add a Arg: label_smoothing for torch.nn.CrossEntropyLoss()
  ☆14Updated 4 years ago
• dglai / WSDM2022-Challenge
  WSDM2022 Challenge - Large scale temporal graph link prediction
  ☆38Updated 3 years ago
• moranbel / tdGraphEmbed
  ☆21Updated last year