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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
427 datasets
Version 1.2 science-quality wind speed data from the CYGNSS satellite constellation, produced by NOAA/NESDIS. The dataset provides daily netCDF-4 files containing time-tagged and geolocated average wind speeds in 25x25 kilometer grid cells, with a latency of approximately 6 days from the last measurement. It includes updates for high wind speed performance, revised quality flags, and a wind speed retrieval error variable.
A cleaned and anonymized Twitter/X interaction network dataset related to the Russia-Ukraine war. The dataset's author, organization, and specific temporal coverage are unknown. Its size, row count, and file formats are also unspecified.
Posts scraped from Moltbook's public API, which requires no authentication. The dataset likely contains discussions from an AI agent social network, featuring fields such as title, content, author, and engagement metrics. It was uploaded by caginb and last updated on May 7, 2026.
A 5.5 KB Excel file comparing a proposed hybrid method against Singular Value Decomposition (SVD) and Graph Neural Network (GNN) benchmarks. The dataset was authored by T. Keerthika and last updated on April 13, 2026. It is licensed under CC-BY-4.0 and hosted on figshare.
A graph dataset designed for detecting insurance fraud rings. The description indicates it is suitable for graph neural networks, link prediction, and network analysis. The dataset's origin, size, and specific structure are not detailed in the provided metadata.
A merged and anonymized YouTube interaction network dataset. The data likely contains nodes representing users or videos and edges representing interactions, enabling the study of scientific communication patterns. The dataset's origin, size, and specific collection date are unknown.
AGNN JM1 is a dataset published on Kaggle, likely intended for graph-based machine learning tasks. The title suggests it may contain network data suitable for models like Attentional Graph Neural Networks. Its specific content, size, and origin are not detailed in the available metadata.
A synthetic dataset modeling a blood donation network in Jordan. It includes entities for donors, hospitals, blood banks, and blood requests. The dataset was created for simulation and modeling purposes, but its author, size, and specific creation date are unknown.
Real robot disassembly episodes include per-frame constraint graphs, SAM2 segmentation masks, 256D feature embeddings, and full 3D depth information. The dataset was created by Chang Liu of Texas A&M University for a CoRL 2026 project on GNN world models for constraint-aware video generation. It was last updated on Hugging Face on April 11, 2026.
AGGNN Datasets is a collection hosted on Kaggle. The title suggests it contains data for benchmarking or training Attributed Graph Neural Networks. The specific contents, scale, and origin are not detailed in the available metadata.
A small dataset contains CODMAC Level 6 products linked to the Rosetta Orbiter's ALICE UV Spectrometer. It collects supplementary documentation and data of interest to users of the Rosetta Alice data products from the comet phase around comet 67P/Churyumov-Gerasimenko, which took place between 2014-01-21 and 2016-09-30. The dataset was provided by the National Aeronautics and Space Administration and last updated in March 2026.
AGGNN Datasets is a collection of graph-structured data published on Kaggle. The title suggests it is intended for use with Attributed Graph Neural Networks or similar models. Specific details on the data's origin, size, and content are not provided in the available metadata.
1.7 GB of pre-trained ALIGNN models for predicting properties from the JARVIS-DFT materials database. The models were created by Kamal Choudhary and updated in March 2026. This resource is shared under a CC BY 4.0 license.
A dataset published on Kaggle, likely containing data for graph neural network (GNN) applications in neuroscience. The title suggests a focus on brain or spine sequence data, potentially for medical imaging or connectome analysis. The dataset's author, organization, and specific content details are unknown.
A web graph dataset from Stanford University, suitable for implementing PageRank and other graph analytics algorithms. The dataset's author, organization, and specific size are unknown. Its last update date is also unspecified.
22 pediatric patient records form the basis for evaluating agreement between HP-GNN model explanations and clinical judgment. The dataset, created by Masoud Amiri, was last updated in April 2026 and is shared under a CC-BY-4.0 license. It contains metrics assessing the alignment of a hypergraph neural network's reasoning with expert clinical assessments.
gnn-3d-frames-20k is a dataset hosted on Kaggle. The title suggests it contains data related to 3D frames, likely for use with Graph Neural Networks (GNNs). The dataset's scale is indicated as approximately 20,000 instances.
PepLM-GNN's statistical superiority is evaluated through t-test p-values against other peptide prediction methods. The data aggregates results from four independent test sets, using mean ACC values from five-fold cross-validation. A p-value below 0.05 indicates PepLM-GNN's significant performance advantage.
hotpot-gnn-checkpoint-Final is a dataset published on Kaggle. The title suggests it is likely a checkpoint file for a Graph Neural Network model trained on the HotpotQA question-answering dataset. The dataset's specific content, size, and structure require verification after download.
MPLS network dataset provides a graph structure for analyzing network connectivity and relationships. The dataset is hosted on Kaggle, a popular platform for data science competitions and projects. Specific details on size, origin, and update frequency are not provided in the available metadata.