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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
428 datasets
CAGNN Sum v6 Checkpoints is a dataset of model weights for a Graph Neural Network (GNN) architecture, published on Kaggle. The dataset likely contains saved states from training a model, which can be used for inference or further fine-tuning. Specific details on the model architecture, training data, and performance are not provided in the available metadata.
Featuring a Data Management and Sharing Plan for the FAM WEL B-ing research project, which focuses on optimizing and evaluating a family-centered weight loss intervention for Black adults using a Multiphase Optimization Strategy and Social Network Analysis. The plan describes the scientific data to be generated and/or used in the research. Specific data characteristics such as row count, column count, and file formats are unknown.
MetacogBench-data is a dataset hosted on Kaggle. The title suggests it contains benchmark data related to metacognition, a field of cognitive science. Its specific content, size, and origin require verification after download.
A synthetic dataset intended for Graph Neural Network (GNN) research and development. The dataset is published on Kaggle and is tagged as 'Synthetic'. Its specific content, scale, and creation details require verification after download.
A synthetic dataset published on Kaggle, likely designed for graph neural network (GNN) research. The title suggests it is the second part (pt-2) of a series focused on the KMA method or domain. Its specific content, scale, and authorship are not detailed in the provided metadata.
A collection of research materials related to the positive and negative effects of social networking on children. The dataset is sourced from the PapersWithCode platform, which aggregates machine learning resources. Specific details on the number of items, original authors, and collection dates are not provided in the metadata.
Encompassing node and edge data for a social network analysis of the 1485 Innsbruck Inquisition, supporting an upcoming academic publication and book project. The data is curated by an author affiliated with Harvard Dataverse.
Social Network Ads likely contains data related to advertising campaigns or user interactions on social media platforms. The dataset is hosted on Kaggle, a popular platform for sharing datasets. Specific details such as the number of rows, columns, and the data's origin are unknown.
THz Satellite Weather Network Dataset contains metrics related to high-speed communication and weather conditions. The dataset's size, author, and update details are unknown.
A pre-trained model, likely a Graph Neural Network (GNN), published on Kaggle. The title suggests a focus on graph-based learning, potentially for tasks like node classification or link prediction. Specific details on architecture, training data, and performance are not provided in the available metadata.
A social network graph captures friendships between users of the Last.fm music platform in Asia. The dataset's exact scale is unspecified but originates from the UCI Machine Learning Repository, a known source for benchmark data. It was likely compiled from public Last.fm API data to study online community structures.
A social network graph from LastFM users in Asia, capturing user connections and music listening habits. The dataset originates from the UCI Machine Learning Repository, a known source for benchmark datasets. Specific temporal coverage and collection details are not provided in the available metadata.
Kaggle hosts a research dataset focused on drug interaction detection. The dataset likely contains data structured for graph neural networks and transformers, as indicated by its title. The author, organization, and specific data volume are unknown.
GraphNeuro-TGA applies graph neural networks to the task of kinetic parameter estimation. The dataset likely contains graph-structured data representing chemical or biological systems for model training and validation. It originates from Kaggle and is categorized under Research.
A framework for federated multi-modal graph neural networks designed for real-time spatial-temporal applications. The dataset likely contains graph-structured data with multiple modalities. Its author, organization, and specific size are unknown.
A research dataset from Kaggle focusing on microglial cytokine modulation using graph neural networks. The dataset's author, organization, and specific scale are not provided in the metadata. Its last update date is also unknown.
Colorado Springs data likely captures social network structures relevant to disease transmission. The dataset is authored by Richard Rothenberg and published on paperswithcode. Its specific size, format, and temporal coverage are unknown.
SumGNN is a dataset published on Kaggle. The dataset likely pertains to graph neural networks, a subfield of machine learning. Metadata is minimal; actual content requires verification after download.
Kaggle Competition Graph Dataset is a synthetic social graph connecting Kaggle users, teams, and AI competitions. It is designed for graph-based analysis and machine learning tasks.
A dataset for research on temporal graph neural networks. The data is intended for the automatic identification of project milestones. The dataset is hosted on Kaggle and is categorized for research purposes.