hwwang55 / GraphGAN
A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)
☆533Updated 5 years ago
Alternatives and similar repositories for GraphGAN:
Users that are interested in GraphGAN are comparing it to the libraries listed below
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆524Updated 3 years ago
- Position-aware Graph Neural Networks☆398Updated 4 years ago
- Representation-Learning-on-Heterogeneous-Graph☆439Updated 5 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆636Updated 2 years ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆528Updated 3 years ago
- ☆349Updated 4 years ago
- ☆420Updated 6 years ago
- ☆486Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,007Updated 4 years ago
- This is a implementation of SDNE (Structural Deep Network embedding)☆321Updated 3 years ago
- SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…☆636Updated 2 years ago
- Implementation of R-GCNs for Relational Link Prediction☆454Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆465Updated 6 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆471Updated 2 years ago
- Multi-Graph Convolutional Neural Networks☆253Updated 6 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆714Updated 3 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆481Updated 4 years ago
- code of HetGNN☆397Updated 5 years ago
- ☆185Updated 6 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- ☆411Updated 6 years ago
- Graph Auto-Encoder in PyTorch☆426Updated 11 months ago
- Semi-supervised learning with graph embeddings☆903Updated 5 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆193Updated 4 years ago
- This repository provides a reference implementation of struc2vec.☆388Updated last year
- Graph Markov Neural Networks☆408Updated 4 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 3 months ago
- A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.☆641Updated last year
- Keras-based implementation of Relational Graph Convolutional Networks☆805Updated 5 years ago