graph-kernels

There are 6 repositories under graph-kernels topic.

awesome-graph-classification
benedekrozemberczki / awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
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
Language:Python 4705
ysig / GraKeL
A scikit-learn compatible library for graph kernels
bioinformatics chemoinformatics graph-classification graph-kernels graph-mining graph-similarity graph-similarity-algorithms scikit-learn
Language:Python 571
annamalai-nr / graph2vec_tf
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
tensorflow graph skipgram graph-kernels deep-learning deep-neural-networks kdd
Language:Python 155
jajupmochi / graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
graph-kernels walks paths kernel-methods graph-representations pattern-recognition machine-learning chemoinformatics pre-image graph-edit-distance
Language:Jupyter Notebook 120
BorgwardtLab / GraphKernels
A package for computing Graph Kernels
graph-kernels graph-classification kernels graph-comparison python-package
Language:C++ 96
giannisnik / cnn-graph-classification
A convolutional neural network for graph classification in PyTorch
graph-classification graph-kernels convolutional-neural-networks
Language:Python 89
nkahmed / PGD
A Parallel Graphlet Decomposition Library for Large Graphs
graph graph-algorithms graphlet-decomposition-algorithms parallel subgraph-count motif-counts motif graphlet-frequency-distribution graphlet-counts pgd edges gfd graph-kernels graph-feature triangle-counting
Language:C++ 82
Tixierae / graph_2D_CNN
Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')
deep-learning convolutional-neural-networks graph-theory graph-2d-cnn classification embeddings neural-networks artificial-intelligence keras tensorflow 2d-cnn representation-learning graph-kernels
Language:Python 75
taolei87 / icml17_knn
Deriving Neural Architectures from Sequence and Graph Kernels
graph-kernels neural-architectures tensorflow-models theano-models
Language:Python 60
BorgwardtLab / P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
weisfeiler-lehman topological-data-analysis graph-classification persistent-homology graph-kernels machine-learning
Language:Python 58
annamalai-nr / subgraph2vec_gensim
Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"
graph-kernels deep-learning gensim kernel-methods word2vec
Language:Python 42
sunfanyunn / graph-classification
A collection of graph classification methods
graph-kernels graph-machine-learning graph-neural-network
Language:OpenEdge ABL 38
annamalai-nr / subgraph2vec_tf
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
tensorflow skipgram deep-learning kernel-methods graph-kernels deep-neural-networks kdd
Language:Python 26
SAG-KeLP / kelp-additional-kernels
machine-learning kernel-functions sequence-kernels tree-kernel graph-kernels
Language:Java 20
BorgwardtLab / fisher_information_embedding
Official code for Fisher information embedding for node and graph learning (ICML 2023)
attention-model graph-kernels graph-learning graph-neural-networks icml-2023 information-geometry
Language:Python 15
giannisnik / message_passing_graph_kernels
graph-classification graph-kernels
Language:Python 15
chrsmrrs / hashgraphkernel
Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".
graph-kernels graphs hashing machine-learning python
Language:Python 10
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
IBM / graph_space_gps
Isotropic Gaussian Processs on Finite Spaces of Graphs (AISTATS 2023)
gaussian-processes graph-kernels molecules aistats-2023 geometry
Language:Python 6
Pseudomanifold / enchiridion-tda
An enchiridion for instructing mortals in the hidden arts of topological data analysis
data-analysis graph-kernels persistent-homology topology
Language:Python 5
ethiy / evaluation_building_models_learning
Semantics aware quality evaluation of building 3D models: a learning approach
quality-evaluation building-3d-models semantic-evaluation machine-learning computer-vision scattering-networks graph-kernels
Language:TeX 2
simonschoelly / GraphKernels.jl
A Julia package for kernel functions on graphs
graph-classification graph-kernels graph-similarity hacktoberfest julia kernel-functions kernels machine-learning
Language:Julia 2
ChNousias / graph-classification-thesis
Classification Task on Graphs using Graph Neural Networks and Graph Kernels - Thesis Project
graph-neural-networks graph-kernels classification python graphs
Language:Jupyter Notebook 1
disi-unibo-nlp / ddegk
Implementation of Deep Divergence Event Graph Kernels
event-embedding graph-representation-learning graph-similarity-learning graph-kernels graph-neural-networks event-extraction biomedical-text-mining
Language:Jupyter Notebook 1
jgurakuqi / graph-kernels-and-manifold-svm
This project aims to compare the performance obtained using a linear Support Vector Machine model whose data was first processed through a Shortest Path kernel with the same SVM, this time with data also processed by two alternative Manifold Learning techniques: Isomap and Spectral Embedding.
graph-kernels isomap laplacian-eigenmaps manifold-learning shortest-path-algorithm sklearn spectral-embedding svm artificial-intelligence machine-learning multiprocessing
Language:Jupyter Notebook 1
thejkane / AGM
abstract graph-kernels graph-algorithms distributed runtime agm graph-coloring graph-machine agm-model
Language:C++ 1
elaaj / weisfeiler-and-manifold-techniques-svm
The goal here is to use a graph kernel and a manifold learning technique in conjunction with Support Vector Machines to enhance the SVM classification.
graph-kernels machine-learning manifold-learning multithreading weisfeiler-lehman
Language:Jupyter Notebook 0
nkanak / cordkel
Shall I work with them? A ‘knowledge graph’-based approach for predicting future research collaborations
knowledge-graph graph-kernels natural-language-processing link-prediction neural-networks tensorflow2 text-representation nlp machine-learning text-mining deep-learning
Language:Python 0

graph-kernels

benedekrozemberczki / awesome-graph-classification

ysig / GraKeL

annamalai-nr / graph2vec_tf

jajupmochi / graphkit-learn

BorgwardtLab / GraphKernels

giannisnik / cnn-graph-classification

nkahmed / PGD

Tixierae / graph_2D_CNN

taolei87 / icml17_knn

BorgwardtLab / P-WL

annamalai-nr / subgraph2vec_gensim

sunfanyunn / graph-classification

annamalai-nr / subgraph2vec_tf

SAG-KeLP / kelp-additional-kernels

BorgwardtLab / fisher_information_embedding

giannisnik / message_passing_graph_kernels

chrsmrrs / hashgraphkernel

simonschoelly / GraphDatasets.jl

IBM / graph_space_gps

Pseudomanifold / enchiridion-tda

ethiy / evaluation_building_models_learning

simonschoelly / GraphKernels.jl

ChNousias / graph-classification-thesis

disi-unibo-nlp / ddegk

jgurakuqi / graph-kernels-and-manifold-svm

thejkane / AGM

elaaj / weisfeiler-and-manifold-techniques-svm

nkanak / cordkel