gasteigerjo / gdc
Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)
☆268Updated last year
Alternatives and similar repositories for gdc:
Users that are interested in gdc are comparing it to the libraries listed below
- Hierarchical Graph Pooling with Structure Learning☆335Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆345Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 9 months ago
- ☆294Updated 2 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆185Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated 10 months ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆190Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆341Updated 4 years ago
- Variational Graph Recurrent Neural Networks - PyTorch☆115Updated 4 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆155Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- Distance Encoding for GNN Design☆187Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated last year
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆315Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆291Updated last year
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆123Updated 5 years 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
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆320Updated 9 months ago
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆266Updated 3 months ago
- Subgraph Neural Networks (NeurIPS 2020)☆191Updated 3 years ago
- ☆263Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆392Updated 7 months ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated last month
- ☆132Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations☆100Updated 4 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 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
- Graph Auto-Encoder in PyTorch☆423Updated 10 months ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆113Updated 4 years ago