Tiiiger / SGC
official implementation for the paper "Simplifying Graph Convolutional Networks"
☆832Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for SGC
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆630Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆787Updated 2 years ago
- ☆476Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated last year
- Simple reference implementation of GraphSAGE.☆994Updated 4 years ago
- Position-aware Graph Neural Networks☆395Updated 4 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆519Updated 3 years ago
- How Powerful are Graph Neural Networks?☆1,184Updated 3 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆625Updated last year
- Graph Convolutional Networks (GCNs)☆909Updated 6 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆444Updated 5 years ago
- Papers on Graph neural network(GNN)☆758Updated last year
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆472Updated 2 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆974Updated last year
- Hyperbolic Graph Convolutional Networks in PyTorch.☆600Updated 3 months ago
- Graph Markov Neural Networks☆400Updated 4 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆366Updated 11 months ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,246Updated last year
- Semi-supervised learning with graph embeddings☆882Updated 4 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆792Updated 10 months ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆474Updated 4 years ago
- PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.☆1,141Updated last year
- Keras-based implementation of Relational Graph Convolutional Networks☆791Updated 5 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆756Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆381Updated 4 months ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆523Updated 3 years ago
- Heterogeneous Graph Neural Network☆1,085Updated 4 years ago
- PyTorch implementation of DGCNN☆372Updated last year
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆651Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆318Updated last year