Awesome Graph Classification Save
A collection of important graph embedding, classification and representation learning papers with implementations.
Project README
Awesome Graph Classification
A collection of graph classification methods, covering embedding, deep learning, graph kernel and factorization papers with reference implementations.
Relevant graph classification benchmark datasets are available [here].
Similar collections about community detection, classification/regression tree, fraud detection, Monte Carlo tree search, and gradient boosting papers with implementations.
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Open Source Agenda is not affiliated with "Awesome Graph Classification" Project. README Source: benedekrozemberczki/awesome-graph-classification
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Attention Mechanism
Classification Algorithm
Deep Graph Kernels
Deepwalk
Graph Attention Model
Graph Attention Networks
Graph Classification
Graph Convolutional Networks
Graph Embedding
Graph Kernel
Graph Kernels
Graph Representation Learning
Graph2vec
Kernel Methods
Netlsd
Network Embedding
Node Embedding
Node2vec
Structural Attention
Weisfeiler Lehman
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