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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 PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Created
2019-01-11
84 commits to master branch, last one 2 years ago
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Created
2018-12-28
95 commits to master branch, last one 2 years ago