Alternatives and similar repositories for CapsGNN

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

• dawenzi123 / DAGCN
  Dual Attention Graph Convolutional Network
  ☆90Updated 4 years ago
• vermaMachineLearning / Graph-Capsule-CNN-Networks
  Graph Capsule Convolutional Neural Networks
  ☆36Updated 5 years ago
• divelab / lgcn
  ☆137Updated 5 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆125Updated 6 years ago
• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆123Updated last year
• graph-star-team / graph_star
  Graph Star Net
  ☆110Updated 2 years ago
• PwnerHarry / Stronger_GCN
  Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"
  ☆53Updated last year
• HongyangGao / hConv-gPool-Net
  TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)
  ☆27Updated 6 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆101Updated 5 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 4 years ago
• babylonhealth / rgat
  A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811
  ☆120Updated 3 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆96Updated 6 years ago
• limaosen0 / Variational-Graph-Auto-Encoders
  This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.
  ☆73Updated 7 years ago
• mengliu1998 / DeeperGNN
  Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]
  ☆155Updated 3 years ago
• VoVAllen / diffpool
  ☆37Updated 6 years ago
• amirkhas / GraphMemoryNet
  Memory-Based Graph Networks
  ☆104Updated 3 years ago
• thu-ml / stochastic_gcn
  Stochastic training of graph convolutional networks
  ☆84Updated 3 years ago
• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 8 years ago
• vermaMachineLearning / Universal-Graph-Embedding-Neural-Network
  Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
  ☆40Updated 5 years ago
• Shen-Lab / SS-GCNs
  [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆111Updated 4 years ago
• liqimai / Efficient-SSL
  Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."
  ☆75Updated 6 years ago
• bknyaz / graph_attention_pool
  Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
  ☆286Updated 5 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago
• HKUST-KnowComp / semihin
  source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…
  ☆31Updated 8 years ago
• ML-on-structures / graph-lstm
  LSTM implementation, and multi-layer LSTMs for learning on graph neighborhoods
  ☆79Updated 8 years ago
• seiya-kumada / patchy-san
  patchy-san implemented in Chainer
  ☆48Updated 7 years ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• vikasverma1077 / GraphMix
  Code for reproducing results in GraphMix paper
  ☆72Updated 2 years ago
• vector-1127 / SACNNs
  a unified convolution on both Euclidean and non-Euclidean domains
  ☆25Updated 6 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆142Updated 7 years ago