benedekrozemberczki / SimGNN
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
☆795Updated 2 years ago
Alternatives and similar repositories for SimGNN
Users that are interested in SimGNN are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 2 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆843Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,006Updated last year
- How Powerful are Graph Neural Networks?☆1,216Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆668Updated 2 years ago
- gnn explainer☆951Updated 8 months ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,026Updated 2 years ago
- Heterogeneous Graph Neural Network☆1,136Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,192Updated last month
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 10 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆831Updated last year
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆647Updated last year
- Source code of Graph-Bert☆492Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆623Updated 9 months ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆590Updated 9 months ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆562Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆641Updated 2 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆616Updated 9 months ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,001Updated last week
- Hierarchical Graph Pooling with Structure Learning☆338Updated 3 years ago
- This repository implements variational graph auto encoder by Thomas Kipf.☆407Updated 3 years ago
- Simple reference implementation of GraphSAGE.☆1,020Updated 5 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 9 months ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆346Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆432Updated last year
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.☆815Updated 2 years ago