Alternatives and similar repositories for gunet

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

• Westlake-AI / Markov-Lipschitz-Deep-Learning
  ☆44Updated 4 years ago
• PetarV- / X-CNN
  Cross-modal convolutional neural networks
  ☆11Updated 7 years ago
• danielegrattarola / decimation-pooling
  Code for "Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling" (TNNLS 2020).
  ☆23Updated 4 years ago
• bknyaz / bmvc_2019
  PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"
  ☆60Updated 4 years ago
• yuj-umd / graphRNN
  Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"
  ☆29Updated 6 years ago
• zhengyang-wang / sopool-gnns
  Second-Order Pooling for Graph Neural Networks
  ☆16Updated 5 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 6 years ago
• RobRomijnders / dan
  Domain Agnostic Normalization layer for Unsupervised Domain Adaptation
  ☆11Updated 2 years ago
• google-research / noisy-fewshot-learning
  ☆23Updated 4 years ago
• gbup-group / EAN-efficient-attention-network
  The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
  ☆20Updated 2 years ago
• ds4dm / sparse-gcn
  Sparse graph attention
  ☆17Updated 6 years ago
• facebookresearch / image-to-set
  The project is about predicting sets (of classes) from images.
  ☆22Updated 3 years ago
• paultsw / torch-crf
  Linear-chain LSTM-CRFs and Convolutional CRFs in PyTorch.
  ☆19Updated 7 years ago
• MOhammedJAbi / SoftKMeans
  Implementation of Deep Soft-K means
  ☆28Updated 4 years ago
• gn-exp / gn-exp
  Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks
  ☆23Updated 6 years ago
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 5 years ago
• rusty1s / embedded_gcnn
  Embedded Graph Convolutional Neural Networks (EGCNN) in TensorFlow
  ☆78Updated 7 years ago
• thudzj / NEigenmaps
  ☆12Updated last year
• lzrobots / dgmn
  ☆58Updated 4 years ago
• wanggrun / TreeConv
  This is a re-implementation of our KDD 2020 paper "Grammatically Recognizing Images with Tree Convolution."
  ☆13Updated 4 years ago
• SaynaEbrahimi / Minimax-Active-Learning
  Official implementation for "Minimax Active Learning" in PyTorch.
  ☆9Updated 4 years ago
• malllabiisc / ConfGCN
  AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
  ☆59Updated 6 years ago
• hjjpku / Attention_in_Graph
  attention mechanism for graph classification, significant sub-graph mining, graph disstillation
  ☆38Updated 4 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• ihollywhy / DistillGCN.PyTorch
  Source code for "Distilling Knowledge From Graph Convolutional Networks", CVPR'20
  ☆58Updated 2 years ago
• Chenglin-Yang / LESA
  Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
  ☆20Updated 3 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆34Updated 5 years ago
• bit-ml / DyReg-GNN
  ☆13Updated 3 years ago
• zihangm / RAL_GNN
  ☆20Updated 6 years ago
• SeongokRyu / mutual_information_and_self-supervised_learning
  Notes and tutorials on "Mutual information and self-supervised learning"
  ☆39Updated 5 years ago