Tiiiger / SGCLinks
official implementation for the paper "Simplifying Graph Convolutional Networks"
☆843Updated 3 years ago
Alternatives and similar repositories for SGC
Users that are interested in SGC are comparing it to the libraries listed below
Sorting:
- ☆493Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,028Updated 5 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆800Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆646Updated 2 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆475Updated 6 years ago
- How Powerful are Graph Neural Networks?☆1,237Updated 4 years ago
- Semi-supervised learning with graph embeddings☆923Updated 5 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆527Updated 4 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆634Updated last year
- Graph Markov Neural Networks☆411Updated 5 years ago
- Keras-based implementation of Relational Graph Convolutional Networks☆817Updated 6 years ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆658Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 7 months ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆723Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆674Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆490Updated 2 years ago
- ☆424Updated 6 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆490Updated 4 years ago
- Papers on Graph neural network(GNN)☆766Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,035Updated 2 years ago
- A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).☆796Updated 2 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆853Updated last year
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated last year
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆334Updated 4 years ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,261Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆354Updated 5 years ago