GitHub topics: graph-kernels
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Language: Python - Size: 1.79 MB - Last synced at: 8 days ago - Pushed at: about 2 years ago - Stars: 4,787 - Forks: 739
ysig/GraKeL
A scikit-learn compatible library for graph kernels
Language: Python - Size: 26.4 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 614 - Forks: 100
FilippoMB/Benchmark_dataset_for_graph_classification
Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
Language: Python - Size: 53.2 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 49 - Forks: 8
BorgwardtLab/fisher_information_embedding
Official code for Fisher information embedding for node and graph learning (ICML 2023)
Language: Python - Size: 1.34 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 19 - Forks: 0
Pseudomanifold/enchiridion-tda
An enchiridion for instructing mortals in the hidden arts of topological data analysis
Language: Python - Size: 191 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1
BorgwardtLab/GraphKernels
A package for computing Graph Kernels
Language: C++ - Size: 43.7 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 104 - Forks: 55
BorgwardtLab/P-WL
A Persistent Weisfeiler–Lehman Procedure for Graph Classification
Language: Python - Size: 163 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 61 - Forks: 17
jajupmochi/graphkit-learn
A python package for graph kernels, graph edit distances, and graph pre-image problem.
Language: Jupyter Notebook - Size: 436 MB - Last synced at: 13 days ago - Pushed at: about 1 year ago - Stars: 124 - Forks: 18
taolei87/icml17_knn
Deriving Neural Architectures from Sequence and Graph Kernels
Language: Python - Size: 51.8 KB - Last synced at: 6 days ago - Pushed at: over 7 years ago - Stars: 59 - Forks: 18
simonschoelly/GraphKernels.jl
A Julia package for kernel functions on graphs
Language: Julia - Size: 63.5 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
giannisnik/message_passing_graph_kernels
Language: Python - Size: 544 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 16 - Forks: 9
IBM/graph_space_gps
Isotropic Gaussian Processs on Finite Spaces of Graphs (AISTATS 2023)
Language: Python - Size: 56.6 KB - Last synced at: 7 days ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 2
sunfanyunn/graph-classification
A collection of graph classification methods
Language: OpenEdge ABL - Size: 2.83 MB - Last synced at: 15 days ago - Pushed at: over 4 years ago - Stars: 42 - Forks: 4
annamalai-nr/graph2vec_tf
This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".
Language: Python - Size: 3.54 MB - Last synced at: 7 months ago - Pushed at: over 7 years ago - Stars: 154 - Forks: 53
giannisnik/cnn-graph-classification
A convolutional neural network for graph classification in PyTorch
Language: Python - Size: 3.09 MB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 91 - Forks: 20
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')
Language: Python - Size: 1.61 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 77 - Forks: 24
disi-unibo-nlp/ddegk
Implementation of Deep Divergence Event Graph Kernels
Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
SAG-KeLP/kelp-additional-kernels
Language: Java - Size: 153 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 20 - Forks: 4
annamalai-nr/subgraph2vec_tf
This repository contains the TensorFlow implemtation of subgraph2vec (KDD MLG 2016) paper
Language: Python - Size: 2.63 MB - Last synced at: 7 months ago - Pushed at: over 7 years ago - Stars: 26 - Forks: 11
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.
Language: Jupyter Notebook - Size: 917 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ethiy/evaluation_building_models_learning
Semantics aware quality evaluation of building 3D models: a learning approach
Language: TeX - Size: 223 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
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.
Language: Jupyter Notebook - Size: 70.3 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
nkahmed/PGD
A Parallel Graphlet Decomposition Library for Large Graphs
Language: C++ - Size: 20.5 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 74 - Forks: 27
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"
Language: Python - Size: 15.8 MB - Last synced at: 7 months ago - Pushed at: about 8 years ago - Stars: 42 - Forks: 18
thejkane/AGM
Language: C++ - Size: 2.37 MB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0
simonschoelly/GraphDatasets.jl
A package for downloading and working with graph datasets
Language: Julia - Size: 102 KB - Last synced at: 21 days ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0
jwu4sml/Graph-Embedding-Techniques
It provides some typical graph embedding techniques based on task-free or task-specific intuitions.
Size: 104 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 31 - Forks: 11
chrsmrrs/hashgraphkernel
Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".
Language: Python - Size: 5.87 MB - Last synced at: about 2 months ago - Pushed at: over 7 years ago - Stars: 10 - Forks: 8
nkanak/cordkel
Shall I work with them? A ‘knowledge graph’-based approach for predicting future research collaborations
Language: Python - Size: 2.26 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
