annamalai-nr / subgraph2vec_tfLinks
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
☆26Updated 8 years ago
Alternatives and similar repositories for subgraph2vec_tf
Users that are interested in subgraph2vec_tf are comparing it to the libraries listed below
Sorting:
- This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".☆157Updated 8 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆82Updated 7 years ago
- Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D C…☆76Updated 6 years ago
- ☆173Updated 7 years ago
- A convolutional neural network for graph classification in PyTorch☆91Updated 6 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆178Updated 2 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆254Updated 6 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 5 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).☆65Updated 3 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆135Updated 5 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆274Updated 3 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
- Stochastic training of graph convolutional networks☆84Updated 3 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated 2 years ago
- Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted…☆42Updated 8 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆212Updated 3 years ago
- Sample Code for Graph Partition Neural Networks☆94Updated 6 years ago
- embedding attributed graphs☆57Updated 4 years ago
- Multi-Graph Convolutional Neural Networks☆256Updated 7 years ago
- A package for computing Graph Kernels☆104Updated 2 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 6 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 3 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆62Updated 4 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago
- Representation learning-based graph alignment based on implicit matrix factorization and structural embeddings☆97Updated 4 years ago
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- TensorFlow implementation of Deep Graph Infomax☆62Updated 7 years ago
- Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; an…☆125Updated 6 years ago