Hanjun-Dai / pytorch_structure2vecLinks
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
☆311Updated 6 years ago
Alternatives and similar repositories for pytorch_structure2vec
Users that are interested in pytorch_structure2vec are comparing it to the libraries listed below
Sorting:
- Training computational graph on top of structured data (string, graph, etc)☆292Updated 5 years ago
- Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"☆515Updated 6 years ago
- This repository provides a reference implementation of struc2vec.☆394Updated 2 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆540Updated 6 years ago
- Sample Code for Graph Partition Neural Networks☆94Updated 7 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆198Updated 5 years ago
- Graph Markov Neural Networks☆412Updated 5 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆528Updated 4 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆155Updated last year
- ☆432Updated 6 years ago
- Position-aware Graph Neural Networks☆402Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Updated 7 years ago
- ☆356Updated 5 years ago
- Multi-Graph Convolutional Neural Networks☆256Updated 7 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 6 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆157Updated 8 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Updated 4 years ago
- Gated Graph Sequence Neural Networks☆276Updated 7 years ago
- ☆173Updated 7 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆479Updated 2 years ago
- This is a implementation of SDNE (Structural Deep Network embedding)☆322Updated 4 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆468Updated 6 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated last year
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆179Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221Updated 3 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆662Updated 3 years ago
- Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)☆493Updated 5 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- ☆28Updated 6 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆274Updated 3 years ago