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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
322 datasets
Synthetic Scientific Document Layout Graph Dataset provides graph-structured representations for analyzing document layouts and multimodal reasoning. The dataset's exact size, creator, and publication date are not specified in the provided information.
Explainable_GNN_for_ADR is a dataset from Kaggle focused on applying Graph Neural Networks to the domain of Adverse Drug Reactions. The dataset likely contains graph-structured data connecting drugs, reactions, or biological entities to enable explainable predictions. Specific details on its size, origin, and creation date are not provided in the available metadata.
Fedivertex is a graph dataset representing the Fediverse, a decentralized network of interconnected social media servers. The dataset is hosted on Kaggle, but its specific scale, creation details, and update history are not provided in the available metadata. Its content likely describes the network structure of Fediverse instances and their connections.
The dataset is titled 'e metacogbench_engine' and is hosted on Kaggle. Its name suggests it likely contains benchmark data related to metacognition or cognitive science tasks. No further details about its size, creator, or temporal coverage are available.
Wireless network metrics for analysis and ML, published on Kaggle. The dataset likely contains measurements from IoT devices or network traffic. Specific details on volume, features, and collection methodology require verification after download.
A dataset titled 'nwe_w_gnn' published on Kaggle. The title suggests it contains network data likely intended for use with Graph Neural Networks (GNNs). The dataset's specific content, size, and origin are not detailed in the provided metadata.
A dataset named Ember24_SAGE_GNN, published on Kaggle. The title suggests a focus on graph data for Graph Neural Network (GNN) applications, likely using the SAGE (GraphSAGE) architecture. Specific details on content, size, and origin are not provided in the available metadata.
This dataset supports replication of empirical results from the paper 'Friendship Networks and Political Opinions'. It was authored by Yann Algan and is hosted by Harvard Dataverse.
A dataset likely related to Graph Neural Networks (GNNs), as suggested by its title. It was published on Kaggle, but details on its creator, size, and specific content are unavailable. The dataset's purpose and structure must be verified after download.
A dataset titled 'Ember24_TXL_GNN' published on Kaggle. The title suggests it contains graph-structured data, likely intended for use with Graph Neural Networks (GNNs). Specific details on volume, authorship, and temporal coverage are unavailable from the provided metadata.
Ember24_TXL2_GNN is a dataset published on Kaggle, likely for graph neural network research or benchmarking. The title suggests it contains graph-structured data, possibly for tasks like node classification or link prediction. Specifics on size, features, and origin are not provided in the available metadata.
Workforce analytics data combining employee attrition metrics with social network interactions. The dataset's specific volume, creator, and update history are not documented. It originates from the Kaggle platform.
A dataset from Kaggle concerning art in the metaverse, likely involving graph structures and reinforcement learning. The title suggests it is designed for training or evaluating Heterogeneous Graph Neural Networks (HGNN) with Reinforcement Learning (RL) components. Specific details on volume, authorship, and timeliness are not provided in the metadata.
A dataset titled 'gnn_lt_data' published on the Kaggle platform. The title suggests it is likely related to Graph Neural Networks (GNNs). The dataset's specific content, size, and origin are not detailed in the provided metadata.
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.