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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
428 datasets
Illinois Graph Benchmark (IGB) is a collection of large-scale real-world graph datasets developed by the IBM-Illinois Discovery Accelerator Institute in collaboration with Amazon and NVIDIA. Updated in June 2025, it provides graph structures and node features specifically designed for benchmarking Graph Neural Network (GNN) performance. It is positioned as the largest open-source dataset of its kind for graph learning research.
1996-present vessel trip reports submitted by commercial and charter boat operators to the Greater Atlantic Regional Fisheries Office. The data is reported by vessel operators and covers fisheries in areas like Georges Bank. The National Oceanic and Atmospheric Administration provides this fishery-dependent information.
Open Graph Benchmark (OGB) is a collection of diverse benchmark datasets for graph machine learning developed by the SNAP group at Stanford University. Updated through May 2025, it provides standardized data loaders and evaluators for node, link, and graph-level prediction tasks across multiple domains.
Hetionet is an integrative biomedical knowledge graph designed to facilitate drug repurposing research and treatment prediction. It encodes data from millions of biomedical studies, connecting various entities such as genes, diseases, and compounds. The dataset was uploaded to Hugging Face by dwb2023 and last updated on 2025-01-29.
A knowledge graph dataset focused on mathematics, published on the Hugging Face platform. The dataset was created by author mlo0ollm and was last updated on 2025-02-26. Its specific content, scale, and structure require verification after download.
Maintained by wey-gu and updated in February 2025, this GitHub repository provides a curated collection of graph datasets specifically formatted for the NebulaGraph database. It serves as a community hub for graph-structured data, though specific record counts and schemas vary by individual dataset within the collection.
Jotschi's Wikipedia Knowledge Graph contains 16,958,654 extracted ontologies from a subset of English Wikipedia articles. The dataset was created by processing the English Wikipedia 20231101.en dataset through an LLM pipeline for fact and ontology extraction. It was last updated on December 3, 2024.
Aggregating dynamic graph sequences representing temporal evolution patterns for the CrossLink link prediction framework. It provides structured data for training transformer-decoder models to perform conditioned link generation based on integrated evolution and structural modeling.
Multiple dynamic graph sequences used for the CrossLink paper to model graph evolution and link prediction. It provides the structural and temporal data necessary for conditioned link generation using transformer-decoder architectures.
Over 1,000 entities and relations representing the One Piece universe, categorized into characters, devil fruits, and locations. The data maps complex narrative connections through a graph structure to support semantic queries and lore analysis.
This repository provides a curated collection of graph datasets and research papers focusing on heterophily in Graph Neural Networks, maintained by alexfanjn and updated through December 2024. It serves as a central directory for benchmarking GNN models on graphs where connected nodes frequently belong to different classes.
ClaimVer is a dataset for explainable claim-level verification and evidence attribution of text, introduced in the arXiv preprint 'ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs'. The dataset was created by authors including Preetam Prabhu Srikar Dammu and uploaded to Hugging Face by user preetam7 on 2024-06-23.
Icews14 is a dataset for temporal knowledge graph reasoning tasks. It was built over the ICEWS and GDELT event databases, which are widely used benchmarks in the field. The dataset was first introduced in the 2022 paper 'TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph' and was uploaded to Hugging Face by user 'linxy' in May 2024.
EQTPartners released Companykg in June 2024 as a large-scale heterogeneous knowledge graph for the investment and private equity sector. It maps company relations to facilitate graph-based machine learning and industry benchmarking.
Encompassing Subject-Verb-Object (SVO) triplets for training knowledge graphs. It is a synthetic dataset curated by Aditya210 and was last updated in April 2024. The specific number of rows, columns, and data size are unknown.
1.7 million arXiv research articles across multiple scientific disciplines. The dataset includes metadata for titles, abstracts, authors, and category classifications for papers published on the preprint server.
43,668 annotated Portuguese documents from social networks are compiled for hate speech detection. The dataset, created by Silly-Machine, is an enhanced version that integrates annotations from several prior academic works and includes 10,000 original entries. It was last updated on the platform in January 2024.
A collection of Geometric Graph Neural Network (GNN) architectures specifically designed for 3D atomic systems. The dataset organizes models that process spatial coordinates and chemical properties for molecular and materials science applications.
BIP! DB contains impact metrics for approximately 128.5 million scientific articles. The dataset, produced by CERN and the European Commission, provides five distinct citation-based measures including citation count, 3-year incubation citation count, PageRank, RAM, and AttRank scores. It was last updated in September 2023 and is derived from OpenCitations' COCI, MAG, and Crossref sources.
September 2020 snapshot of citation data from OpenCitations, MAG, and Crossref. This dataset provides five distinct impact measures for over 106 million scientific articles, including citation counts and network centrality scores. It was produced by CERN and the European Commission and last updated in September 2023.