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weisfeiler-lehman

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awesome-graph-classification

benedekrozemberczki /awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

deepwalk kernel-methods attention-mechanism 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

UpdatedMar 18, 2023
Python

graph2vec

benedekrozemberczki /graph2vec

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

machine-learning kernel word2vec deepwalk matrix-factorization transformer unsupervised-learning graph-kernel node2vec weisfeiler-lehman noise-contrastive-estimation graph-embedding graph2vec subgraph2vec graph-wavelet node-embedding struc2vec implicit-matrix-factorization diff2vec gemsec

UpdatedNov 6, 2022
Python

chrsmrrs /k-gnn

Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".

deep-learning graph-algorithms graphs end-to-end pytorch higher-order weisfeiler-lehman graph-neural-networks weisfeier-leman

UpdatedMar 22, 2022
C++

role2vec

benedekrozemberczki /role2vec

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

machine-learning research deep-learning tensorflow word2vec sklearn network-science pytorch deepwalk gensim representation-learning network-embedding node2vec weisfeiler-lehman graph-embedding graph-wavelet node-embedding struc2vec implicit-factorization graph-neural-network

UpdatedNov 6, 2022
Python

BorgwardtLab /P-WL

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

machine-learning persistent-homology topological-data-analysis graph-kernels weisfeiler-lehman graph-classification

UpdatedJun 9, 2021
Python

FilippoMB /The-expressive-power-of-pooling-in-GNNs

Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023

weisfeiler-lehman expressiveness graph-neural-networks graph-pooling

UpdatedNov 8, 2023
Python

junwu6 /DEMO-Net

DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

weisfeiler-lehman multi-task-learning graph-classification node-classification graph-neural-networks feature-hashing

UpdatedMay 27, 2021
Python

KienMN /Weisfeiler-Lehman-Neural-Machine

Python code for "M. Zhang, Y. Chen, Weisfeiler-Lehman Neural Machine for Link Prediction, KDD 2017"

python3 link-prediction weisfeiler-lehman

UpdatedAug 12, 2020
Jupyter Notebook

k-melnyk /graphKKE

Library for the analysis of time-evolving graphs

graphs multithreading sde kernels embedding weisfeiler-lehman metastability koopman-operators

UpdatedOct 8, 2022
C++

meakbiyik /graphtester

Test graph isomorphism with 1-WL for different graph classes and labelings

python graph graph-isomorphism weisfeiler-lehman weisfeier-leman gnn graph-transformer

UpdatedApr 1, 2024
Python

Cortys /master-thesis

Learning to Aggregate on Structured Data

graph weisfeiler-lehman lta gnn

UpdatedJul 6, 2023
TeX

nur-ag /ELENE

Official repository for "Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings" based on the official GNN-As-Kernel repository.

machine-learning weisfeiler-lehman graph-neural-networks

UpdatedJan 28, 2024
Python

chrsmrrs /amenability_test

Implementation of the algorithm described in the paper "On the Power of Color Refinement".

algorithm isomorphic graph-algorithms graph-isomorphism colorrefinement weisfeiler-lehman

UpdatedMar 21, 2017
C++

florianluediger /OnThePowerOfColorRefinement

Ausarbeitung für das Seminar Algorithm Engineering an der TU Dortmund zum Paper "On the Power of Color Refinement" von Arvind et al.

algorithm research isomorphic graph-isomorphism colorrefinement weisfeiler-lehman

UpdatedMay 22, 2019
TeX

Mateusmsouza /The-Weisfeiler-Lehman-Isomorphism-Test

Project 1 - unifesp master's degree course

graph unifesp weisfeiler-lehman

UpdatedAug 30, 2021
Python

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.

machine-learning multithreading manifold-learning graph-kernels weisfeiler-lehman

UpdatedDec 7, 2023
Jupyter Notebook

doblerk /weisfeiler-leman-test

An implementation of the Weisfeiler-Leman graph isomorphism test

graph-isomorphism weisfeiler-lehman

UpdatedNov 22, 2024
C++

antoine-moulin /gnn-review

A short review on Graph Neural Networks done during the Master's degree Mathematics, Vision, Learning (MVA) from ENS Paris-Saclay.

weisfeiler-lehman graph-neural-networks

UpdatedJan 6, 2020
TeX

FabriceBeaumont /MA-INF-4316-GRL

MyLectureNotes on Pascal Welke's lecture "Graph Representation Learning" (winter term 2021/2022)

lecture-notes weisfeiler-lehman graphtheory graph-learning graph-representation-learning weisfeiler-lehman-graph-kernel

UpdatedJan 25, 2022
TeX

jpaillard /KernelChallenge

Data Challenge - Kernel methods

graphs molecule kernel-methods weisfeiler-lehman kernel-logistic-regression kernel-support-vector-machine

UpdatedApr 15, 2023
Python

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