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GitHub topics: graph-datasets

michaelflppv/ged-approximation

This is a repository of the code used for the experimental work in my Bachelor thesis on Approximation Algorithms for Graph Edit Distance (GED). It includes implementations, benchmarking scripts, and evaluation methods for comparing GED approximation algorithms with exact computations.

Language: C++ - Size: 206 MB - Last synced at: 13 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

vijaydwivedi75/lrgb

Long Range Graph Benchmark, NeurIPS 2022 Track on D&B

Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 158 - Forks: 22

DiTEC-project/DiTEC_WDN_dataset

This repository contains parameter generation, simulation, and encapsulation code for the DiTEC-WDN dataset. Feel free to use it on your "private" WDN!

Language: Python - Size: 3.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

MohsenKoohi/ParaGrapher

ParaGrapher: Graph Loading API and Library

Language: C - Size: 3.11 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 1

ocramz/algebraic-graphs-io

I/O utilities and datasets for algebraic-graphs

Language: Haskell - Size: 101 KB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 14 - Forks: 2

erfanloghmani/myket-android-application-market-dataset

This Myket Dataset comprises Android application install interactions from a subset of users in the Myket Android application market.

Language: Jupyter Notebook - Size: 18.6 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

MohsenKoohi/MS-BioGraphs-Validation

MS-BioGraphs-Validation: Validation Code for MS-BioGraphs

Language: Java - Size: 952 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1

DIPSA-QUB/ParaGrapher

ParaGrapher: Graph Loading API and Library

Language: C - Size: 198 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

Deceptrax123/GNN-Dataloader-For-Chemical-Interaction-Applications

PyTorch code for an effective way of making a Molecular Graph Dataset in Torch Geometric involving a pair of graphs from chemical SMILE strings

Language: Python - Size: 77.1 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Graph-Learning-Benchmarks/gli

🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!

Language: Python - Size: 5.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 37 - Forks: 18

ZhenyuYangMQ/Awesome-Graph-Level-Learning

Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph representation learning, graph regression and graph classification to join this project as contribut…

Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 5

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

TheRemoteCoder/Graph-DB-Neo4j-Cypher-Playground

Graph database tests - Neo4j + Cypher

Language: JavaScript - Size: 28.3 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

amusaafir/graph-scaling

A sampling based method for scaling graph (network) data sets.

Language: C++ - Size: 841 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 1

Related Keywords
graph-datasets 14 graphs 7 graph-neural-networks 5 graph 3 graph-data 3 high-performance-computing 3 dataset 3 graph-dataset 3 datasets 3 deep-learning 2 benchmark 2 graph-classification 2 gnns 2 high-performance-graph-processing 2 machine-learning 2 julia-language 1 julia 1 juliagraphs 1 lightgraphs 1 cypher 1 hacktoberfest 1 graph-kernels 1 graph-kernel 1 node-level-learning 1 graph-regression 1 graph-pooling 1 graph-level-learning 1 graph-clustering 1 edge-level-learning 1 graph-neural-network 1 torch-geometric 1 totally-induced-edge-sampling 1 sampling 1 random-node-sampling 1 random-edge-sampling 1 graph-scaling 1 graph-sampling 1 forest-fire-sampling 1 query 1 node 1 neo4j-graph 1 neo4j-driver 1 neo4j-database 1 neo4j 1 js 1 javascript 1 graph-dbms 1 graph-db 1 graph-datastructures 1 graph-database 1 ecmascript 1 db 1 cypher-query-language 1 cypher-query 1 water-distribution-networks 1 time-series-forecasting 1 dataset-generation 1 long-range-dependence 1 long-range 1 graph-transformer 1 graph-representation-learning 1 graph-benchmark 1 reproducible-research 1 python 1 heuristic-algorithm 1 graph-similarity 1 graph-matching 1 graph-edit-distance 1 gedlib 1 experimental-design 1 cplusplus 1 computational-complexity 1 benchmarking 1 approximation-algorithms 1 algorithm-performance 1 pytorch 1 dataloader 1 chemical-reactions 1 webgraph 1 matrix-market 1 graph-algorithm 1 real-wrold-graphs 1 graph-compression 1 temporal-networks 1 temporal-network 1 recommendation-datasets 1 dynamic-graphs 1 networks 1 network-science 1 network-dataset 1 algebraic-graphs 1 parallel-io 1 graph-decompression 1 graph-algorithms 1 water-network-distribution 1 water-distribution-systems 1