DeepGraphLearning / GMNNLinks
Graph Markov Neural Networks
☆409Updated 4 years ago
Alternatives and similar repositories for GMNN
Users that are interested in GMNN are comparing it to the libraries listed below
Sorting:
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆642Updated 2 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- ☆491Updated 4 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆843Updated 3 years ago
- ☆352Updated 5 years ago
- ☆423Updated 6 years ago
- Simple reference implementation of GraphSAGE.☆1,022Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆721Updated 3 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆799Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 6 months ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆472Updated 2 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆488Updated 4 years ago
- ☆299Updated 2 years ago
- Representation-Learning-on-Heterogeneous-Graph☆441Updated 5 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆625Updated 10 months ago
- A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).☆274Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆294Updated 2 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆195Updated last year
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 10 months ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆350Updated 4 years ago
- Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs☆567Updated 3 years ago
- SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…☆656Updated 3 years ago
- code of HetGNN☆406Updated 5 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆504Updated 4 years ago
- Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)☆334Updated 4 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆370Updated last year
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆536Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆841Updated last year