A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
machine-learning
kernel
line
word2vec
deepwalk
matrix-factorization
unsupervised-learning
graph-kernel
node2vec
weisfeiler-lehman
noise-contrastive-estimation
graph-embedding
graph2vec
subgraph2vec
graph-wavelet
node-embedding
struc2vec
implicit-matrix-factorization
diff2vec
gemsec
-
Updated
May 31, 2020 - Python