Alternatives and similar repositories for torch_geometric_exploration

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

• ds4dm / sparse-gcn
  Sparse graph attention
  ☆17Updated 6 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• hexiangnan / CoNMF
  Co-regularized Non-negative Matrix Factorization
  ☆18Updated 8 years ago
• williamSYSU / CatGAN
  Codes for Category-aware Generative Adversarial Networks (AAAI 2020)
  ☆18Updated 4 years ago
• zhulf0804 / GCN.PyTorch
  Graph Convolutional Networks for Text Classification.
  ☆45Updated 5 years ago
• ZichenMiao / L3Net
  ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters
  ☆15Updated 4 years ago
• tvayer / PSCN
  A python implementation of Patchy-San Convolutional Network for Graph
  ☆41Updated 4 years ago
• vector-1127 / SACNNs
  a unified convolution on both Euclidean and non-Euclidean domains
  ☆25Updated 6 years ago
• FutureTwT / PyTorch-Geometric-Study
  关于Pytorch-Geometric的学习，包括官方文档的基本内容和部分API的使用方式，以及官方源码中的示例代码和Pytorch-Geometric的部分源码实现
  ☆21Updated 4 years ago
• weiyangfb / PyTorchSparseGAT
  Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer
  ☆20Updated 6 years ago
• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆88Updated 3 years ago
• rusty1s / graph-based-image-classification
  Implementation of Planar Graph Convolutional Networks in TensorFlow
  ☆43Updated 8 years ago
• CheriseZhu / GSSNN
  The implementation of our AAAI 2020 paper "GSSNN: Graph Smoothing Splines Neural Network".
  ☆20Updated 4 years ago
• xuanzebi / Attention
  一些不同的Attention机制代码
  ☆20Updated 5 years ago
• edouardpineau / Variational-Recurrent-Neural-Networks-for-Graph-Classification
  Github page for the paper "Variational Recurrent Neural Networks for Graph Classification" presented at the RLGM workshop of ICLR 2019
  ☆13Updated 4 years ago
• P1Analytics / Pseudo-Label-for-Deep-Neural-Networks
  Semi-Supervised Learning Method for Deep Neural Networks
  ☆28Updated 7 years ago
• PetarV- / X-CNN
  Cross-modal convolutional neural networks
  ☆11Updated 7 years ago
• leftthomas / PSCapsNet
  A PyTorch implementation of Parameter-sharing Capsule Network based on the paper "Evaluating Generalization Ability of Convolutional Neur…
  ☆15Updated 3 years ago
• queenie88 / A-GCN
  Pytorch code for our work: Learning Label Correlations for Multi-Label Image Recognition with Graph Networks
  ☆12Updated 3 years ago
• TonyZZX / MultiGraph_MultiLabel_Learning
  Multi-Graph Multi-Label Learning
  ☆11Updated 7 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago
• konstantinkobs / SimLoss
  A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"
  ☆25Updated 3 years ago
• HanGuangXin / Result-Visualization-of-Graph-Convolutional-Networks-in-PyTorch
  Based on Graph Convolutional Networks in PyTorch, visualization of test set results was added with t-SNE algorithm.
  ☆41Updated 5 years ago
• leoguti85 / GraphEmbs
  Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification
  ☆17Updated 5 years ago
• gan3sh500 / revrnn
  Reversible Recurrent Neural Network Pytorch Implementation
  ☆21Updated 7 years ago
• CrawlScript / TF-GNN
  TensorFlow Implementation of Graph Attention Network and Graph Convolutional Network
  ☆56Updated 5 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• Phoenix1327 / ML-ZSL
  ☆11Updated 6 years ago
• Shujian2015 / graphnet_nlp_paper
  List of papers that applied graph network to NLP
  ☆13Updated 6 years ago
• jwzhanggy / SEG-BERT
  Source code of "Segmented GRAPH-BERT Model"
  ☆23Updated 4 years ago