diningphil / gnn-comparisonLinks
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
☆395Updated 11 months ago
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☆349Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- ☆491Updated 4 years ago
- Hierarchical Graph Pooling with Structure Learning☆340Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆641Updated 2 years ago
- ☆296Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆485Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆291Updated 3 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆227Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆298Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆272Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆295Updated 2 years ago
- Strategies for Pre-training Graph Neural Networks☆1,016Updated last year
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆272Updated 2 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆671Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆834Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- Graph Auto-Encoder in PyTorch☆433Updated last year
- This repository implements variational graph auto encoder by Thomas Kipf.☆409Updated 3 years ago
- ☆351Updated 11 months ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 5 months ago
- A curated list of graph data augmentation papers.☆311Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆493Updated 10 months ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆564Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated last year