bwilder0 / clusternet
Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
☆87Updated 5 years ago
Alternatives and similar repositories for clusternet:
Users that are interested in clusternet are comparing it to the libraries listed below
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 5 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Stochastic training of graph convolutional networks☆85Updated 2 years ago
- Graph Auto-Encoder in PyTorch☆81Updated last year
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated 11 months ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 5 months ago
- code for the paper in NeurIPS 2019☆40Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆268Updated last year
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆194Updated 4 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆120Updated 9 months ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆185Updated 2 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 5 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆139Updated 6 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆82Updated 6 years ago
- Implement of DiGCN, NeurIPS-2020☆48Updated 3 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆53Updated 5 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- ☆62Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 6 months ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆185Updated 2 years ago
- Dual Graph Convolution Networks☆93Updated 6 years ago
- tensorflow-as-gcn☆92Updated 5 years ago