A collection of important graph embedding, classification and representation learning papers with implementations.
deepwalk
kernel-methods
attention-mechanism
network-embedding
graph-kernel
graph-kernels
graph-convolutional-networks
classification-algorithm
node2vec
weisfeiler-lehman
graph-embedding
graph-classification
graph-attention-networks
graph-representation-learning
graph2vec
deep-graph-kernels
netlsd
graph-attention-model
structural-attention
node-embedding
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Updated
Jul 12, 2020 - Python
I'm looking to create embeddings for the STRING protein-protein interaction database. In this notebook, I convert this network to
scipy.sparse.csr_matrixandnumpy.arrayformats. The network is big with 19,566 nodes and 11,759,454 (divide that in two for bidi