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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
322 datasets
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 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.
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.
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.
Phase3_GNN_batch1 is a dataset for graph neural network training, published on Kaggle. The dataset's specific content, size, and provenance are not detailed in the available metadata. Its intended application appears to be within the domain of network science and graph-based machine learning.
A dataset from Kaggle concerning social network structures within a classroom environment. The specific number of nodes, edges, and attributes are unknown. The dataset's author, collection method, and temporal coverage are not specified in the provided metadata.
A dataset related to Graph Neural Network (GNN) training, specifically concerning 29 epochs. Published on Kaggle. The specific data content, origin, and collection date are unknown.
583 million records form a complete mirror of the OpenAlex knowledge graph, including works, authors, and institutions. The dataset, uploaded by Mearman, provides a pre-built graph index and tile repository for client-side visualization. It was last updated on Hugging Face in February 2026.
Pulmonary Dyspnea Bayesian Network Dataset is a structured representation of dyspnea-related clinical inference derived from the MIMIC-IV database. The dataset likely contains variables for modeling clinical reasoning about shortness of breath. Its author, organization, and exact size are unknown.