Hanjun-Dai / pytorch_structure2vecLinks
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
☆312Updated 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)☆291Updated 4 years ago
- This repository provides a reference implementation of struc2vec.☆392Updated 2 years ago
- Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"☆508Updated 6 years ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆535Updated 5 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆154Updated last year
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago
- Sample Code for Graph Partition Neural Networks☆94Updated 6 years ago
- ☆352Updated 5 years ago
- Graph Markov Neural Networks☆411Updated 5 years ago
- ☆428Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆195Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆482Updated 6 years ago
- Multi-Graph Convolutional Neural Networks☆255Updated 7 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆220Updated 3 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Gated Graph Sequence Neural Networks☆276Updated 6 years ago
- ☆173Updated 6 years ago
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆157Updated 7 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 6 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆727Updated 3 years ago
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆468Updated 6 years ago
- This is a implementation of SDNE (Structural Deep Network embedding)☆322Updated 4 years ago
- ☆28Updated 5 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 9 months ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".☆178Updated 7 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- ☆151Updated 5 years ago
- Dynamic Network Embedding by Modeling Triadic Closure Process☆141Updated 6 years ago