johncava / GCN-pytorch
Pytorch Implementation of Graph Convolutional Neural Networks
☆111Updated 7 years ago
Related projects: ⓘ
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆145Updated 6 years ago
- A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)☆53Updated 2 years ago
- ☆53Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆118Updated 4 months ago
- ☆136Updated 4 years ago
- Pytorch Implementation for Graph Convolutional Neural Networks☆325Updated 6 years ago
- Dual Graph Convolution Networks☆94Updated 5 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆74Updated 5 years ago
- tensorflow-as-gcn☆92Updated 4 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 2 years ago
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 5 years ago
- Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019☆320Updated 5 years ago
- Graph Neural Network with Hierarchical Pooling for PyTorch: "Hierarchical Graph Representation Learning with Differentiable Pooling".☆74Updated 4 years ago
- Dual Attention Graph Convolutional Network☆86Updated 3 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- attention mechanism for graph classification, significant sub-graph mining, graph disstillation☆37Updated 3 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆122Updated 5 years ago
- patchy-san implemented in Chainer☆49Updated 6 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 4 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆97Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆326Updated 3 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆360Updated 10 months ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆186Updated 2 years ago
- MGCN: Semi-supervised Classification in Multi-layer Graphs with Graph Convolutional Networks☆36Updated 2 years ago
- ☆37Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆107Updated 3 years ago
- ☆74Updated this week
- Memory-Based Graph Networks☆101Updated 2 years ago
- Collect papers about graph☆74Updated 4 years ago