graph-kernel

There are 3 repositories under graph-kernel topic.

awesome-graph-classification
benedekrozemberczki / awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
graph2vec classification-algorithm graph-kernels weisfeiler-lehman kernel-methods deep-graph-kernels netlsd graph-attention-model graph-attention-networks structural-attention attention-mechanism graph-kernel node2vec graph-embedding network-embedding node-embedding graph-representation-learning deepwalk graph-convolutional-networks graph-classification
Language:Python 4703
graph2vec
benedekrozemberczki / graph2vec
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
graph2vec subgraph2vec graph-wavelet graph-embedding node-embedding deepwalk word2vec node2vec struc2vec graph-kernel weisfeiler-lehman kernel matrix-factorization implicit-matrix-factorization noise-contrastive-estimation diff2vec gemsec machine-learning unsupervised-learning transformer
Language:Python 876
FEATHER
benedekrozemberczki / 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".
node-embedding graph-embedding network-embedding deep-learning node-classification graph-classification machine-learning data-mining networkx graph-convolution graph2vec deepwalk node2vec deep-neural-networks neural-network graph-kernel graph tensorflow pytorch representation-learning
Language:Python 43
resolutions-2019
benedekrozemberczki / resolutions-2019
A list of data mining and machine learning papers that I implemented in 2019.
machine-learning deep-learning graph-convolutional-networks gcn graph-clustering network-embedding node-embedding graph-embedding network-science pytorch tensorflow scipy sklearn attention-mechanism deepwalk node2vec graph-classification node-classification graph-kernel resolution
20
arne-cl / ppi_graphkernel
all-paths graph kernel for protein-protein interaction extraction
python graph-kernel protein-protein-interaction ppi nlp natural-language-processing
Language:Python 12
Xiangyan93 / Chem-Graph-Kernel-Machine
Machine Learning using marginalized graph kernel for chemical molecules.
graph-kernel machine-learning
Language:Python 12
simonschoelly / GraphDatasets.jl
A package for downloading and working with graph datasets
graph graphs dataset datasets graph-kernels graph-kernel julia julia-language juliagraphs lightgraphs graph-classification graph-data graph-datasets hacktoberfest
Language:Julia 8
benedekrozemberczki / NestedSubtreeHash
A distributed implementation of "Nested Subtree Hash Kernels for Large-Scale Graph Classification Over Streams" (ICDM 2012).
graph-kernel streaming-data streaming-processing distributed-machine-learning large-scale-learning hashing machine-learning representation-learning graph-mining feature-extraction multi-scale deepwalk word2vec graph-classification data-mining data-science node2vec gensim
Language:Python 7
Cinofix / graph-kernel-manifold-learning
Assignment for the course of Artificial Intelligence: Knowledge Representation and Planning
python graph-kernel manifold-learning weisfeiler-lehman-kernel
Language:Jupyter Notebook 4
ArapiAndi / graph_learning
The aim of this project is to compare the performance of an SVM trained on the different graph kernel, with or without the manifold learning step, on the following data-sets
graph-kernel svm compression
Language:Python 0
BrunoFrancesco97 / ManifoldLearning-GraphKernel
Shortest-Path Kernel analysis with LLE and Isomap manifold algorithms application
artificial-intelligence graph-kernel manifold-learning
Language:Python 0