Alternatives and similar repositories for DAGCN:

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

• CRIPAC-DIG / H-GCN
  [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"
  ☆121Updated 11 months ago
• hjjpku / Attention_in_Graph
  attention mechanism for graph classification, significant sub-graph mining, graph disstillation
  ☆38Updated 4 years ago
• XinyiZ001 / CapsGNN
  Tensorflow implementation of Capsule Graph Neural Network
  ☆75Updated 4 years ago
• ZhuangCY / DGCN
  Dual Graph Convolution Networks
  ☆93Updated 6 years ago
• samihaija / mixhop
  Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…
  ☆123Updated 5 years ago
• malllabiisc / ASAP
  AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations
  ☆100Updated 4 years ago
• mulinmeng / GraphU-Net
  pytorch geometric version
  ☆12Updated 5 years ago
• davide-belli / graphsage-diffpool-classifier
  Implemented a GNN for classification tasks in PyTorch, combining Graph Convolutions and Graph Pooling layers
  ☆33Updated 6 years ago
• dawnranger / pytorch-AGNN
  Pytorch implementation of the Attention-based Graph Neural Network(AGNN)
  ☆146Updated 7 years ago
• Nate1874 / StructPool
  The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields
  ☆58Updated 4 years ago
• jennyzhang0215 / GaAN
  ☆53Updated 5 years ago
• weiyangfb / PyTorchSparseGAT
  Modify pyGAT (https://github.com/Diego999/pyGAT) to use PyTorch sparse operators for implementation of SpGraphAttentionLayer
  ☆20Updated 6 years ago
• zhulf0804 / GCN.PyTorch
  Graph Convolutional Networks for Text Classification.
  ☆45Updated 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
  ☆110Updated 3 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
• jiangboahu / GLCN-tf
  Graph Learning Convolution Network
  ☆38Updated 2 years ago
• vector-1127 / SACNNs
  a unified convolution on both Euclidean and non-Euclidean domains
  ☆25Updated 6 years ago
• mahsa91 / py_mgcn
  MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks
  ☆38Updated 3 years ago
• divelab / lgcn
  ☆136Updated 4 years ago
• Luckick / EAGCN
  Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling
  ☆203Updated 3 years ago
• DeepLearnPhysics / dynamic-gcnn
  Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
  ☆64Updated 6 years ago
• limaosen0 / GXN
  Graph Cross Network
  ☆48Updated 4 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
• alge24 / eigenpooling
  An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"
  ☆49Updated 5 years ago
• murphyyhuang / gnn_hierarchical_pooling
  Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".
  ☆77Updated 5 years ago
• johncava / GCN-pytorch
  Pytorch Implementation of Graph Convolutional Neural Networks
  ☆111Updated 7 years ago
• muhanzhang / DGCNN
  Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
  ☆177Updated 6 years ago
• vermaMachineLearning / Graph-Capsule-CNN-Networks
  Graph Capsule Convolutional Neural Networks
  ☆36Updated 5 years ago
• zpeng27 / GMI
  Graph Representation Learning via Graphical Mutual Information Maximization
  ☆114Updated 4 years ago
• ds4dm / sparse-gcn
  Sparse graph attention
  ☆17Updated 6 years ago