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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
427 datasets
The Vessel Electronic Reporting System (VERS) database facilitates the collection of research data aboard federally permitted commercial fishing vessels. Data are collected via Fisheries Logbook Data Recording Software (FLDRS) to address research needs and satisfy federal Vessel Trip Reporting (VTR) requirements. The dataset is maintained by the National Oceanic and Atmospheric Administration (NOAA) and was last updated on March 14, 2026.
The Department of the Interior packaged processed datasets used to develop a resistance surface for coastal marten connectivity modeling. The collection includes data layers for roads, forested and non-forested land cover, rivers, waterbodies, bays, estuaries, and serpentine soils. Data are packaged in a geodatabase and ArcGIS Pro Map Package format, last updated on March 4, 2026.
VibeSearchBench is a dataset containing 200 simulated research tasks for evaluating search systems. It includes 100 daily-life tasks and 100 professional tasks, each with a ground-truth knowledge graph. The dataset was created by VibeSearchBench and was last updated on May 6, 2026.
Comparison data evaluates HP-GNN model performance across three datasets, including results on 22 pediatric patients. The dataset was authored by Masoud Amiri and last updated in April 2026. It contains evaluation metrics in a 5.5 KB Excel file.
5.5 KB of tabular data compares the computational demands of a Hypergraph Neural Network against baseline methods for seizure prediction. The dataset, created by Masoud Amiri and shared on figshare, was last updated in April 2026. It originates from research involving 22 pediatric patients and Kuramoto oscillator dynamics.
Python source code implements a Hypergraph Neural Network (HP-GNN) model for seizure prediction. The package includes model architecture, training scripts, and evaluation tools for data from 22 pediatric patients. It was authored by Masoud Amiri and last updated in April 2026.
A knowledge graph dataset published on Kaggle. The specific entities, relationships, and source of the graph are not detailed in the available metadata. Its size, license, and last update date are also unknown.
AGGNN Datasets is a collection hosted on Kaggle. The title suggests it contains graph-structured data likely intended for benchmarking or training Graph Neural Networks (GNNs). Its specific contents, scale, and origin require verification after download.
Epstein Files Knowledge Graph 1 - 9 + 11 structures entities and relationships from the released documents. The graph likely contains people, addresses, objects, dates, and emails mentioned in the files. Its author, license, and specific size are unknown.
Datasets intended for use with Attributed Graph Neural Networks (AGGNN). The collection was published on Kaggle. The specific contents, size, and creation details are not provided in the available metadata.
Cybersecurity RAG Knowledge Graph is a structured, synthetic dataset designed for retrieval-augmented generation systems and AI copilots. The preview contains a knowledge graph built from 75 articles organized into 25 topics, resulting in approximately 200 text chunks. The dataset was created by Lucasautomatekc and last updated on Hugging Face in April 2026.
A network-based dataset of YouTube interactions, published on Kaggle. The dataset likely contains nodes representing users or videos and edges representing interactions such as comments or likes. Specific details on scale, collection method, and authorship are not provided in the available metadata.
Hotpot-GNN-Results is a dataset published on Kaggle. The title suggests it contains performance metrics or results from experiments with Graph Neural Networks (GNNs) on the HotpotQA benchmark. The dataset's specific content, size, and origin are not detailed in the provided metadata.
5.5 KB of benchmark results for inductive knowledge graph completion, measuring HITS@10 scores. The data, published by Qingsong Li on figshare, compares multiple methods across four standard inductive split versions (v1-v4). Results were last updated on March 19, 2026.
Kaggle hosts a dataset for modeling polypharmacy side effects with graph convolutional networks. The description suggests it contains biological network data related to drug combinations. Specific details on size, origin, and update history are not provided.
A dataset named 'hotpot-gnn-checkpoint' published on Kaggle. The title suggests it contains saved model weights or training states for a Graph Neural Network, likely related to the 'HotpotQA' question-answering task. No further metadata on size, author, or specific contents is available.
Wind speed data averaged within 25x25 kilometer grid cells along satellite tracks, derived from the CYGNSS constellation's Delay Doppler Mapping Instrument. NOAA/NESDIS produced this version using a specific geophysical model function and track-wise debiasing algorithm. One netCDF-4 file is generated per day, containing data from up to eight spacecraft with a latency of approximately six days.
Model_GNN_run is a dataset published on Kaggle. Its title suggests it contains outputs or logs from a Graph Neural Network model run. The dataset's specific content, scale, and authorship are not detailed in the available metadata.
arXiv citation graph is a dataset of citation relationships between academic papers hosted on the arXiv preprint server. The dataset is published on Kaggle. The specific scale, creation date, and authorship details are not provided in the available metadata.
Curated papers, datasets, and benchmarks for social network simulation, from classical network models to LLM-based agentic social systems. The repository is authored by tamlhp and was last updated on 2026-05-07 11:53:09.