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A collection of important graph embedding, classification and representation learning papers with implementations.
netlsd
deepwalk
node2vec
graph2vec
graph-kernel
graph-kernels
kernel-methods
node-embedding
graph-embedding
network-embedding
weisfeiler-lehman
deep-graph-kernels
attention-mechanism
graph-classification
structural-attention
graph-attention-model
classification-algorithm
graph-attention-networks
graph-convolutional-networks
graph-representation-learning
Created
2018-07-14
422 commits to master branch, last one about a year ago
A scikit-learn compatible library for graph kernels
Created
2017-10-31
952 commits to master branch, last one 27 days ago
A python package for graph kernels, graph edit distances, and graph pre-image problem.
Created
2018-06-05
617 commits to master branch, last one 9 months ago
A package for computing Graph Kernels
Created
2015-11-25
138 commits to master branch, last one 2 years ago
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Created
2018-10-23
401 commits to master branch, last one 3 years ago