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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
428 datasets
Ogbomoso, Nigeria, is the focal region for this dataset. It likely contains information related to the marketing of cashew nuts, such as prices, volumes, or market transactions. The dataset is published on Kaggle, but its specific contents, size, and creation details are unknown.
Data for IGSTGNN is a dataset hosted on Kaggle. The dataset's specific content, size, and structure are not described in the available metadata. Its intended use is likely for research or development related to graph neural networks, as suggested by its title.
OGBN-MAG is a heterogeneous academic graph from the Open Graph Benchmark. This dataset likely contains pre-computed node embeddings generated using the FUSE method after 200 training iterations. The embeddings were published on Kaggle, but the specific creation date and author are unknown.
fx_gnn data is a dataset hosted on Kaggle. The platform tags suggest it contains graph-structured data related to financial exchanges, likely intended for use with Graph Neural Networks. The author, organization, and specific details about the data's size, columns, and origin are unknown.
sna is a collection of tools for social network analysis authored by Carter T. Butts. The package includes methods for calculating node and graph-level indices, structural distance and covariance, detecting structural equivalence, performing network regression, generating random graphs, and visualizing networks in 2D and 3D. The dataset's size, specific file formats, and last update date are not provided.
A graph dataset from the Open Graph Benchmark (OGB) project. It is published on Kaggle and likely contains metadata for a network of Amazon products linked by co-purchase relationships. The specific scale, features, and creation date are not detailed in the available metadata.
A dataset titled 'Phase3_GNN_Mb' published on Kaggle. The title suggests it is related to Graph Neural Networks (GNNs) and may be part of a third phase of a project or benchmark. The specific content, size, and origin are unknown from the provided metadata.
OGBn-Products-Embeddings provides precomputed node embeddings for the OGBn-products graph dataset. The dataset is hosted on Kaggle, a popular platform for data science competitions and projects. The embeddings likely correspond to nodes representing products in a co-purchase network.
OGBn-Products embeddings likely contain vector representations for nodes in the Amazon product co-purchase network. The dataset is hosted on Kaggle, but its specific origin and creation date are unknown. Column names and data volume are unspecified, requiring verification after download.
Department of Housing and Urban Development data identifies neighborhoods designated as Revitalization Areas, which are the basis for programs like Good Neighbor Next Door and Asset Control Areas. The dataset provides geographic boundaries for these areas, including coverage in Puerto Rico and the United States.
Every Cure KG is an integrated, simplified, and filtered knowledge graph merged from ROBOKOP and RTX-KG2 as of February 2026. The 'Nodes' dataset contains records for all nodes in the graph, including metadata, with corresponding edges available in a separate dataset. The dataset was created by the organization 'everycure' and was last updated on February 10, 2026.
Kaggle hosts a dataset for benchmarking Graph Neural Network uncertainty estimation methods. The data is designed to evaluate model performance under distribution shifts, a key challenge in reliable machine learning. The author, organization, and specific data scale are not provided in the input.
A dataset related to Graph Neural Network models, published on Kaggle. The title suggests it contains data for training or evaluating GNNs, likely involving graph-structured information. Specific details on volume, authorship, and timeliness are not provided in the available metadata.
As of February 2026, this dataset contains all edge records for the Every Cure integrated knowledge graph. The graph is a simplified and filtered merge of the ROBOKOP and RTX-KG2 knowledge sources. It is published by the organization 'everycure'.
OGBA-101 is a certification exam whose content appears to emphasize cloud technology. The dataset, published on Kaggle, likely contains materials related to this exam topic. Specific details about the data's size, format, and authorship are not provided in the available metadata.
Faculty Opinions provides expert recommendations for academic papers. This dataset likely contains curated recommendations for the paper 'Birds of a feather: homophily in social networks', authored by Naoki Masuda from the University at Buffalo. The specific data content and structure are not detailed in the provided metadata.
Phase3_GNN_batch3 is a dataset from Kaggle. The title suggests it contains graph-structured data intended for training Graph Neural Networks (GNNs). The dataset's specific content, size, and origin are not detailed in the provided metadata.
Phase3_GNN_batch2 is a dataset published on Kaggle. Its title suggests it contains graph-structured data intended for training Graph Neural Networks. The dataset's specific content, size, and origin are not detailed in the available metadata.
A dataset likely containing graph-structured data for modeling dengue fever in Brazil using Sheaf Attention Networks. The data was published on Kaggle, but specific details about its size, creation date, and authorship are not provided. Its primary purpose appears to be for developing or evaluating graph neural network architectures in a public health context.
U.S. Department of Housing and Urban Development data on neighborhoods designated as Single Family Revitalization areas, which are HUD-defined zones targeted for economic and community development. The dataset serves as the basis for federal programs like Good Neighbor Next Door and Asset Control Areas. It was last updated on March 11, 2026.