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Top 3 graph-kernel open source projects
Awesome Graph Classification
A collection of important graph embedding, classification and representation learning papers with implementations.
✭ 4,309
python
attention-mechanism
deepwalk
kernel-methods
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
FEATHER
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
✭ 34
python
machine-learning
data-mining
deep-neural-networks
deep-learning
neural-network
graph
tensorflow
pytorch
deepwalk
networkx
representation-learning
network-embedding
graph-kernel
node2vec
graph-embedding
graph-classification
node-classification
graph2vec
node-embedding
graph-convolution
resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
✭ 19
resolution
machine-learning
deep-learning
tensorflow
sklearn
network-science
pytorch
deepwalk
scipy
attention-mechanism
network-embedding
graph-kernel
graph-convolutional-networks
gcn
graph-clustering
node2vec
graph-embedding
graph-classification
node-classification
node-embedding
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