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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
428 datasets
This collection organizes resources across 6 categories including graph processing systems, databases, data structures, datasets, and academic or industrial research. It maps the technical landscape of temporal and evolving graph technologies for streaming data applications.
A directory of the Department of Utility Resources in Ukraine, last updated on 2023-02-23. The dataset includes identification codes, official websites, email addresses, phone numbers, and physical addresses. It is provided by the States site of Ukraine and is available in an EXCEL XLSX format.
Serving as adapted from MoleculeNet for molecular property prediction, specifically to predict whether molecules inhibit HIV. It is part of the Open Graph Benchmark and is intended for a binary classification task evaluated with ROC-AUC.
Encompassing Abstract Syntax Trees (ASTs) from 450,000 Python method definitions extracted from 13,587 different GitHub repositories. It was created by teams at Stanford as part of the Open Graph Benchmark for graph machine learning tasks.
Undirected protein association neighborhoods extracted from protein-protein association networks of 1,581 species. It is designed for a 37-way multi-class taxonomic group prediction task as part of the Open Graph Benchmark.
Encompassing molecular graphs for property prediction, adapted from MoleculeNet as part of the Open Graph Benchmark. It is designed for a binary classification task involving 128 distinct molecular properties.
SODA is a million-scale dialogue dataset covering a wide range of social interactions. Dialogues were generated by contextualizing social commonsense knowledge from the Atomic10x knowledge graph using a large language model (InstructGPT). The dataset was created by AllenAI and released on Hugging Face, with a last update recorded on 2023-01-04.
Nell is a dataset for few-shot link prediction tasks, published on the Hugging Face platform by the author 'relbert'. The dataset was last updated on February 2, 2023, but its specific size, structure, and content details are not provided in the available metadata.
1,835 gait sequences categorized into four emotion classes including Happy, Sad, Angry, and Neutral for affective computing research. The data consists of spatial-temporal graphs representing 16 skeletal joints across multiple frames of human walking to capture movement dynamics.
310,079 triples across 237 relation types and 14,541 entities derived from the Freebase knowledge base. The dataset is structured for link prediction tasks, providing head entities, relations, and tail entities while specifically excluding redundant inverse relations found in its predecessor.
Trial Full Gnn is a dataset for testing Graph Neural Network models, uploaded by user KalElofKrypton to the Hugging Face platform. The dataset was last updated on July 15, 2022. Its specific contents and structure are not described.
A dataset for testing Graph Neural Network models, uploaded by user KalElofKrypton to the Hugging Face platform. The dataset was last updated in July 2022. Specific details on the graph structure, node features, and edge types are not provided.
Created by simonschoelly in 2021, Graphdatasets.Jl provides a programmatic interface for retrieving graph-structured data for classification and kernel analysis. The package facilitates the download of multiple graph datasets specifically formatted for use within the JuliaGraphs and LightGraphs.jl software ecosystems.
3,312 scientific publications categorized into six classes, interconnected by a citation network of 4,732 links. Each publication is represented by a 3,703-dimensional binary word vector indicating the presence or absence of specific dictionary terms.
2,708 scientific publications categorized into seven distinct classes, connected by a citation network of 5,429 links. Each entry includes a binary word vector representing the presence or absence of 1,433 unique dictionary terms.
1 code repository containing implementation scripts for the ICLR 2021 paper 'Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective'. It provides the computational framework for evaluating the expressive power of graph neural networks through spectral filter analysis.
8 subgraph classification datasets including HPO-NEURO, HPO-METAB, and PPI-BP, designed to evaluate how neural networks capture subgraph topology. The collection includes subgraphs of varying sizes and connectivity patterns embedded within large base graphs representing biological and synthetic networks.
Aggregating over three decades of social and demographic data on resident killer whales, examining the relationship between social position and mortality risk. It was authored by Samuel Ellis and published in 2020.
2422 black bear (Ursus americanus) individuals from the Northern Lower Peninsula of Michigan, USA, form the basis of this genetic dataset. Parentage analysis identified mated pairs to investigate nonrandom mating patterns. Logistic regression models quantified effects of spatial proximity, male age, coexistence time, local density, and relatedness on mating dynamics.
This dataset supports a bibliometric study on the integration of agent-based (ABM) and individual-based modeling (IBM) communities within complex systems science. It uses novel hetero-citation metrics to analyze the historical development and progressive merger of these two synonymous disciplines. The analysis identifies key publications that sparked the ongoing fusion between ABM and IBM research.