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Social network graphs, knowledge graphs, citation networks, molecular graphs for GNN, web link graphs
428 datasets
A knowledge graph representing legal documents from the Algerian Official Journal. The dataset was sourced from Kaggle, but details on the author, organization, and last update are unknown. The specific number of documents, entities, or relationships within the graph is not provided.
PrimeKG is a medical knowledge graph published on Kaggle. The dataset likely contains structured relationships between biomedical entities such as diseases, drugs, and genes. Metadata is minimal; actual content requires verification after download.
CogBench-SC is a contamination-resistant dataset containing 100 scenarios designed for measuring high-order social cognition. The dataset is hosted on Kaggle, but specific details about its creator, organization, and last update date are not provided. Its size, row count, and file formats are also unknown.
AlphaSign is a dataset of hand gestures with extracted landmarks formatted for Graph Neural Networks. The dataset is designed for sign language recognition tasks. The author, organization, and specific volume are not provided.
Landmark data for hand gestures, formatted for Graph Convolutional Network (GCN) input. The dataset is intended for sign language recognition tasks, specifically focusing on the AlphaSign gesture set. The author, organization, and dataset size are not specified.
A graph dataset representing a reduced version of the Fediverse network. The dataset is hosted on Kaggle and is described as a light version of the Fediverse Graph Dataset. Specific details on size, structure, and creation date are not provided in the available metadata.
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.