diningphil / gnn-comparison
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
☆394Updated 9 months ago
Alternatives and similar repositories for gnn-comparison:
Users that are interested in gnn-comparison are comparing it to the libraries listed below
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆469Updated 6 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆637Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆339Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆346Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆481Updated 2 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆553Updated 3 years ago
- ☆349Updated 9 months ago
- Graph Auto-Encoder in PyTorch☆427Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆664Updated 2 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 8 months ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆318Updated last year
- A curated list for awesome self-supervised learning for graphs.☆382Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆270Updated last year
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆292Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆302Updated 2 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆233Updated last year
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆346Updated 4 years ago
- ☆295Updated 2 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆402Updated 3 years ago
- Representation learning on dynamic graphs using self-attention networks☆292Updated 2 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- ☆487Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆325Updated 11 months ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 3 months ago
- Strategies for Pre-training Graph Neural Networks☆996Updated last year
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆821Updated last year
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆467Updated last year
- ☆349Updated 4 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago