12 results found Sort:

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Created 2019-12-05
2,314 commits to master branch, last one 2 months ago
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Created 2018-07-10
87 commits to master branch, last one about a year ago
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Created 2019-06-17
144 commits to master branch, last one about a year ago
A repository of pretty cool datasets that I collected for network science and machine learning research.
Created 2019-04-07
335 commits to master branch, last one 2 months ago
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Created 2018-12-28
95 commits to master branch, last one about a year ago
Smart contract vulnerability detection using graph neural network (DR-GCN).
Created 2019-07-10
58 commits to master branch, last one about a year ago
An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
Created 2019-07-30
80 commits to master branch, last one about a year ago
A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).
Created 2018-11-14
65 commits to master branch, last one about a year ago
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
Created 2019-05-06
71 commits to master branch, last one about a year ago
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
Created 2021-02-05
77 commits to main branch, last one about a year ago
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
Created 2020-02-17
139 commits to master branch, last one about a year ago