diningphil / gnn-comparisonLinks
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
☆395Updated last year
Alternatives and similar repositories for gnn-comparison
Users that are interested in gnn-comparison are comparing it to the libraries listed below
Sorting:
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆353Updated 2 months ago
- Papers about developing deep Graph Neural Networks (GNNs)☆301Updated 2 years ago
- ☆357Updated last year
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆300Updated 2 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆236Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆477Updated 6 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆636Updated last year
- A curated list for awesome self-supervised learning for graphs.☆388Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆342Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆646Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,030Updated 2 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆674Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- ☆300Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 8 months ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆493Updated 3 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 5 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆496Updated last year
- Distance Encoding for GNN Design☆187Updated 4 years ago
- A curated list of graph data augmentation papers.☆312Updated last year
- [ICLR 2021] Combining Label Propagation and Simple Models Out-performs Graph Neural Networks (https://arxiv.org/abs/2010.13993)☆289Updated 4 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Updated 2 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- Representation learning on dynamic graphs using self-attention networks☆296Updated 2 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆198Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- CS224W Course Notes☆309Updated 4 years ago