lucfra / LDS-GNN
Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
☆194Updated last year
Alternatives and similar repositories for LDS-GNN:
Users that are interested in LDS-GNN are comparing it to the libraries listed below
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆227Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆270Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years ago
- ☆295Updated 2 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆210Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 4 months ago
- Hyperbolic Graph Neural Networks☆232Updated 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
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated 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
- Variational Graph Recurrent Neural Networks - PyTorch☆115Updated 4 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆193Updated 4 years ago
- A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).☆159Updated 5 years ago
- Multi-Graph Convolutional Neural Networks☆254Updated 7 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆114Updated 4 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 8 months ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Code for reproducing results in GraphMix paper☆72Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆81Updated 7 months ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆121Updated 11 months ago
- Position-aware Graph Neural Networks☆400Updated 4 years ago
- Supervised community detection with line graph neural networks☆89Updated 4 years ago
- 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 5 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆347Updated 2 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
- Graph Auto-Encoder in PyTorch☆81Updated last year