XinyiZ001 / CapsGNN
Tensorflow implementation of Capsule Graph Neural Network
☆75Updated 4 years ago
Alternatives and similar repositories for CapsGNN:
Users that are interested in CapsGNN are comparing it to the libraries listed below
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 11 months ago
- Graph Capsule Convolutional Neural Networks☆36Updated 5 years ago
- ☆136Updated 4 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- Collect papers about graph☆75Updated 4 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- patchy-san implemented in Chainer☆48Updated 6 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Graph Star Net☆110Updated last year
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 8 months ago
- Dual Graph Convolution Networks☆95Updated 6 years ago
- Pytorch implementation of the Attention-based Graph Neural Network(AGNN)☆146Updated 7 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆203Updated 3 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 6 months ago
- A Complete PyTorch 1.0 Implementation of Gated Graph Sequence Neural Networks (GGNN)☆55Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Neural Networks☆111Updated 7 years ago
- tensorflow-as-gcn☆91Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆117Updated 2 years ago
- a unified convolution on both Euclidean and non-Euclidean domains☆25Updated 6 years ago
- source code for the paper "Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks…☆31Updated 7 years ago
- ☆53Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 6 years ago
- ☆37Updated 6 years ago
- TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)☆27Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆110Updated 3 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago