The Wayback Machine - https://web.archive.org/web/20220623025042/https://github.com/topics/graph2vec
Here are
15 public repositories
matching this topic...
A collection of important graph embedding, classification and representation learning papers with implementations.
Updated
Mar 2, 2022
Python
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Updated
Jun 4, 2022
Python
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Updated
Mar 2, 2022
Python
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Updated
Mar 2, 2022
Python
A repository of pretty cool datasets that I collected for network science and machine learning research.
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Updated
Mar 2, 2022
Python
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Updated
Mar 2, 2022
Python
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
Updated
Mar 2, 2022
Python
Smart contract vulnerability detection using graph neural network (DR-GCN).
Updated
Dec 22, 2021
Python
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
Updated
Mar 2, 2022
Python
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Updated
Mar 2, 2022
Python
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Updated
Mar 2, 2022
Python
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
Updated
Dec 19, 2021
Python
Visual Analysis of Temporal Summaries in Dynamic Graphs (IEEE TVCG)
Updated
Jun 22, 2022
JavaScript
This project contain implementation the system, proposed in the "Adapting the Graph2Vec Approach to Dependency Trees for NLP Tasks" (O. Durandin, A. Malafeev), and presented in the AIST-2019 Conference
Updated
Oct 18, 2020
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