vermaMachineLearning / Graph-Capsule-CNN-Networks
Graph Capsule Convolutional Neural Networks
☆36Updated 5 years ago
Alternatives and similar repositories for Graph-Capsule-CNN-Networks:
Users that are interested in Graph-Capsule-CNN-Networks are comparing it to the libraries listed below
- Tensorflow implementation of Capsule Graph Neural Network☆75Updated 3 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- TensorFlow implementation of Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations (WWW19)☆27Updated 5 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
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- ☆35Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Implementation of Meta-GNN in TensorFlow☆47Updated 3 years ago
- Dual Attention Graph Convolutional Network☆88Updated 3 years ago
- Multi-View Spectral Graph Convolution with Consistent Edge Attention for Molecular Modeling☆202Updated 3 years ago
- Tensorflow Implementation of Large-Scale Learnable Graph Convolutional Networks (LGCN) KDD18☆46Updated 6 years ago
- ☆37Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 6 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 4 years ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- Graph Recurrent Networks with Attributed Random Walks☆28Updated last year
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 5 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 5 years ago
- ☆136Updated 4 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
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- Codes for the paper "Learning Graph-Level Representations with Gated Recurrent Neural Networks"☆29Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 3 years ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- Memory-Based Graph Networks☆101Updated 2 years ago