ChandlerBang / Pro-GNN
Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
☆290Updated last year
Alternatives and similar repositories for Pro-GNN:
Users that are interested in Pro-GNN are comparing it to the libraries listed below
- AAAI'21: Data Augmentation for Graph Neural Networks☆189Updated 10 months ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆226Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆320Updated 10 months ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆209Updated last year
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆342Updated 4 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆317Updated last year
- ☆263Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆379Updated 2 years ago
- ☆294Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 8 months ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆269Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆401Updated 3 years ago
- Graph Auto-Encoder in PyTorch☆426Updated 11 months ago
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆193Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆231Updated last year
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆155Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated last year
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆327Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 2 months ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆464Updated 6 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆479Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆409Updated 4 years ago
- Representation learning on dynamic graphs using self-attention networks☆291Updated last year
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆194Updated 11 months ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆146Updated 3 years ago
- Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networ…☆268Updated 4 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 7 months ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆232Updated 4 years ago