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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
322 datasets
A heterogeneous graph of 14,053 HuggingFace model, dataset, paper, and codebase nodes. It contains 51,337 observed evaluation edges linking models to datasets with performance metrics, intended for benchmarking link prediction and attribute regression tasks. The dataset was created by user lwaekfjlk and was last updated on 2026-05-16.
17244 peptide samples underpin the statistical t-test results comparing a complete PepLM-GNN model against four ablation variants (A, B, C, D). The table reports p-values for accuracy (ACC) from five-fold cross-validation, indicating the significance of each removed module. Authored by Ke Yan, this data supports analysis of model component contributions in peptide-protein interaction prediction.
A JSON-LD federation index linking the five sibling research lines of the shimo4228 research program. The graph connects three agent-design lines and two cross-cutting lines with their ecosystem repositories. The dataset is a mirror of a graph.jsonld file from a GitHub repository, authored by Shimo4228 and last updated on 2026-05-18.
A JSON-LD knowledge graph encodes the concept layer of the Attention, Not Self research line. The dataset maps concepts between five Buddhist traditions (Theravāda, Sarvāstivāda, Yogācāra, Chan/Zen, Pure Land) and contemporary computational phenomenology frameworks. It was authored by Shimo4228 and last updated on Hugging Face in May 2026.
Parameter estimates model the strong clustering phenomenon in Chicago burglary data using a space-time self-exciting point process. The 5.5 KB Excel file contains results from a study applying a multi-dimensional Gaussian-type exponent approximation method. Edward Appau Nketiah authored this research, which was last updated in April 2026.
Parameter estimates for a space-time self-exciting point process model applied to crime data. The dataset contains results from a study analyzing burglary patterns in Chicago, Illinois, United States, authored by Edward Appau Nketiah and published in April 2026. The 5.5 KB size indicates a small, focused set of model outputs rather than raw event data.
Edward Appau Nketiah published parameter value estimates for a space-time self-exciting point process model applied to crime data. The 5.5 KB dataset contains results from a study analyzing burglary patterns in Chicago, Illinois, United States. It was last updated in April 2026.
Parameter estimates support the application of space-time self-exciting point process models to crime data. The 5.5 KB Excel file contains results from a study analyzing burglary patterns in Chicago, Illinois. Edward Appau Nketiah authored the work, which was last updated in April 2026.
Machine-readable entity data for Dr. Saeid Ghezelbaash and his aesthetic clinic in Kermanshah, Iran, published in 2026. The dataset includes service taxonomy, local business information, reputation context, and AI positioning guidance. It was created by author 'doctor-ghezelbaash' and last updated on May 13, 2026.
SALT-KG is a benchmark dataset for semantics-aware learning on enterprise tables, presented at the EurIPS'25 Table Representation Workshop. The dataset is hosted by SAP and was last updated in May 2026. It includes metadata for an Operational Business Knowledge Graph.
2,475 scientist log books from 2,367 surveys by UK research vessels, dating back to 1904, were retrieved and archived by CEFAS. The catalogue provides a continuous record of vessel activity, except for periods during the World Wars. All data are now catalogued and stored in secure modern archiving facilities under the custodianship of the CEFAS Library.
FWA Synthetic Graph v1 is a synthetic knowledge graph modeling federal grant and loan program entities with planted fraud typologies. It contains 925 planted fraud clusters and models operations including applicants, applications, payments, vendors, and agencies. The dataset was created by kvirtue and last updated on Hugging Face in May 2026.
Fanbo Ju's dataset aggregates multiple sources for benchmarking a network-calibrated drug-target interaction prediction model. It includes data from DrugBank V6.0, BIOSNAP, a BindingDB subset with Kd values, and single-cell transcriptomic data from GSE301188 for Tucidinostat-treated samples. The collection also contains supplementary results from ablation studies, similarity heatmaps, prediction scores, and docking simulations.
FactNet Benchmarks provides three benchmark datasets derived from FactNet for evaluating AI models. The primary benchmark focuses on Knowledge Graph Completion (KGC), assessing a model's ability to predict missing links within a graph. The dataset was created by the organization 'openbmb' and was last updated on May 7, 2026.
2015 to 2023 data from volunteer angler logbooks on the Margaree River in Nova Scotia, used for modeling salmon abundance. The dataset includes in-season and early out-of-season fishing records collected under a scientific license.
A 5.5 KB Excel file containing Wilcoxon signed-rank test results comparing a proposed Graph Neural Network model with baseline methods. The dataset was authored by Yifei Huang and last updated on April 29, 2026. The specific number of rows and columns is unknown.
Paired t-test results comparing the proposed GNN model with baseline methods. The dataset is a 5.5 KB XLS file authored by Yifei Huang and last updated on 2026-04-29. It is shared under a CC-BY-4.0 license on figshare.
Sensitivity analysis results of a proposed Graph Neural Network model across baseline, geographical, and temporal settings. The dataset is a 5.5 KB XLS file authored by Yifei Huang and last updated on 2026-04-29. It is shared under a CC-BY-4.0 license on the figshare platform.
A 5.5 KB Excel file comparing dynamic graph methods and proposed models, authored by Karimeh Ibrahim Ata. The dataset was last updated on April 28, 2026, and is shared under a CC-BY-4.0 license.
Supplementary Material 1 is a 59.8 KB ZIP file published on figshare by Ting Liu on May 7, 2026. The dataset likely contains a knowledge graph exploring the relationship between astrocyte autophagy and pyroptosis in Alzheimer's disease. Its specific structure and row count are unknown, requiring verification after download.