Ablation performance of GNN-FTuckER on TeaPle dataset.

Figshare2025-05-27 更新2026-04-28 收录

知识图谱嵌入

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数据链接：

https://figshare.com/articles/dataset/Ablation_performance_of_GNN-FTuckER_on_TeaPle_dataset_/29159438 数据链接链接失效反馈

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Ablation performance of GNN-FTuckER on TeaPle dataset.

创建时间：

2025-05-27

RF-GCN_Dataset

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图结构

Cora, Citeseer, and Pubmed are three citation networks for research papers, where nodes represent publications and edges denote citation links. Node attributes consist of bag-of-words representat

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Comparison of the STGATN model and baseline model proposed in this article for long-term pollutant concentration prediction tasks.

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Comparison of the STGATN model and baseline model proposed in this article for long-term pollutant concentration prediction tasks.

Figshare2025-07-30 更新20

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Data used in our work "FloodGNN-GRU: A Spatio-Temporal Graph Neural Network for Flood Prediction"

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Combining Group-Contribution Concept and Graph Neural Networks Toward Interpretable Molecular Property Models

分子性质预测

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Quantitative structure–property relationships (QSPRs) are important tools to facilitate and accelerate the discovery of compounds with desired properties. While many QSPRs have been developed, they ar

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benroodman/HillStreetSample

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HillStreet是一个大规模、纵向的数据集和多模态动态图，用于形式化国会山与华尔街的交集。它涵盖了13.5年的强制性STOCK法案披露数据（2012年7月至2025年12月），将国会交易生态系统统一到一个单一的、适合机器学习的环境中。数据集代表了1,137位立法者与6,825家公司之间的关系，通过将国会交易建模为动态二分图，使研究人员能够将交易信号验证视为边分类任务。节点包括立法者（按会议特定

Hugging Face2026-05-07 更新20

Ablation performance of GNN-FTuckER on TeaPle dataset.

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