jcatw / dcnn
An implementation of Diffusion-Convolutional Neural Networks in Lasagne and Theano.
☆34Updated 7 years ago
Alternatives and similar repositories for dcnn:
Users that are interested in dcnn are comparing it to the libraries listed below
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- ☆37Updated 6 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆124Updated 5 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆52Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated 7 months ago
- Graph Filter Neural Network (ICPR'20)☆48Updated 4 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆58Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- ☆35Updated 5 years ago
- Implementation for IGCN and GLP model in our paper "Label Efficient Semi-Supervised Learning via Graph Filtering."☆75Updated 6 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 9 months ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆21Updated 5 years ago
- Code for Graphite iterative graph generation☆59Updated 5 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 6 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 5 years ago
- Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport☆36Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning☆40Updated 5 years ago
- Dual Graph Convolution Networks☆95Updated 6 years ago
- Graph convolutional recurrent neural network☆179Updated 7 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆159Updated 5 years ago
- Memory-Based Graph Networks☆102Updated 2 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated last year
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆42Updated last year
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆193Updated 4 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago