ECML22 GRAPE Data

NIAID Data Ecosystem2026-03-13 收录

CAD装配建模

图神经网络

数据链接：

https://figshare.com/articles/dataset/ECML22_GRAPE_Data/20239767 数据链接链接失效反馈

官方服务：

资源简介：

Data for ECML22 paper "A Recommendation System for CAD Assembly Modeling based on Graph Neural Networks".

创建时间：

2022-07-06

StructureSAT

图神经网络

SAT布尔可满足性问题

StructureSAT是一个大规模的饱和问题（SAT）数据集，由新南威尔士大学计算机科学与工程学院创建。该数据集包含来自不同问题领域的多样化SAT问题，旨在研究图神经网络（GNN）在SAT问题上的泛化能力。数据集涵盖了随机、设计、伪工业和工业等11个SAT领域，并研究了9种对传统SAT求解器有影响的图形结构属性。数据集通过结构属性对问题领域进行细分，以研究不同结构属性对GNN求解器泛化能力的影响

arXiv2025-02-17 更新110

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts

几何深度学习基准

图神经网络

The following contains the datasets described in the paper: GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts, and the associated code can be found at https://github.com/Graph-

Zenodo2023-11-06 更新50

ICPP_22_Power_Constrained_Autotuning_using_Graph_Neural_Networks

功率约束自动调优

图神经网络

Dataset for paper submission to ICPP 22

NIAID Data Ecosystem50

Codes and datasets for AAAI 2021 paper "Learning to Pre-train Graph Neural Networks"

图神经网络

训练

This record contains the dataset and codes to reproduce the published paper. Please refer to the live GitHub repository (https://github.com/rootlu/L2P-GNN) for more information. A copy of the GitHub r

DataCite Commons2022-10-25 更新100

RF-GCN_Dataset

图神经网络

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

IEEE50

ECML22 GRAPE Data

资源简介：

相关数据集