Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
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…
🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!
I/O utilities and datasets for algebraic-graphs
A package for downloading and working with graph datasets
A sampling based method for scaling graph (network) data sets.
This Myket Dataset comprises Android application install interactions from a subset of users in the Myket Android application market.
This repository contains parameter generation, simulation, and encapsulation code for the DiTEC-WDN dataset. Feel free to use it on your "private" WDN!
ParaGrapher: Graph Loading API and Library
ParaGrapher: Graph Loading API and Library
PyTorch code for an effective way of making a Molecular Graph Dataset in Torch Geometric involving a pair of graphs from chemical SMILE strings
MS-BioGraphs-Validation: Validation Code for MS-BioGraphs
Graph database tests - Neo4j + Cypher
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.
Add a description, image, and links to the graph-datasets topic page so that developers can more easily learn about it.
To associate your repository with the graph-datasets topic, visit your repo's landing page and select "manage topics."