bwilder0 / clusternetLinks
Code release for NeurIPS 2019 paper "End to End Learning and Optimization on Graphs"
☆91Updated 5 years ago
Alternatives and similar repositories for clusternet
Users that are interested in clusternet are comparing it to the libraries listed below
Sorting:
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆59Updated 6 years ago
- Stochastic training of graph convolutional networks☆84Updated 2 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- Official code for "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning" (NeurIPS 2019)☆45Updated last year
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆78Updated 5 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆160Updated 5 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"☆97Updated last year
- Multi-Graph Convolutional Neural Networks☆255Updated 7 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆116Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 11 months ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 4 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 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 the paper in NeurIPS 2019☆40Updated 2 years ago
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 5 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆271Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆82Updated 9 months ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- PyTorch implementation of residual gated graph ConvNets, ICLR’18☆122Updated 6 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
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 6 months ago
- ☆35Updated 6 years ago
- ☆62Updated 4 years ago