annamalai-nr / graph2vec_tfLinks
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
☆157Updated 7 years ago
Alternatives and similar repositories for graph2vec_tf
Users that are interested in graph2vec_tf are comparing it to the libraries listed below
Sorting:
- ☆173Updated 6 years ago
- This repository provides a reference implementation of struc2vec.☆392Updated last year
- ☆352Updated 5 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆326Updated 2 years ago
- A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).☆925Updated 2 years ago
- A package for computing Graph Kernels☆104Updated last year
- Heterogeneous Information Network Embedding☆198Updated 3 years ago
- Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bi…☆227Updated 5 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).☆260Updated 2 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆210Updated 2 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- This is a implementation of SDNE (Structural Deep Network embedding)☆322Updated 3 years ago
- Representation learning for link prediction within social networks☆351Updated 6 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆174Updated 2 years ago
- Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec☆187Updated 5 years ago
- Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"☆116Updated last year
- 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
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- An implementation of "Community Preserving Network Embedding" (AAAI 2017)☆121Updated 2 years ago
- Heterogeneous information network representation learning☆160Updated 6 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
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆194Updated 4 years ago
- Representation-Learning-on-Heterogeneous-Graph☆441Updated 5 years ago
- embedding attributed graphs☆57Updated 3 years ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- Representation learning on dynamic graphs using self-attention networks☆294Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- ☆423Updated 6 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago