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Tech Xplore on MSN4d
Novel out-of-core mechanism introduced for large-scale graph neural network training
A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...
Design-Reuse12d
Placement of different type nodes in a Network-on-chip graph
St. Petersburg University of Aerospace Instrumentation. For system tasks we could form a rate of messages flows between nodes of different type’s matrix L. The value of element Lij of this matrix is ...
GitHub28d
network-graph-builder-gui
The Network Graph Builder is a Python-based tool designed to visualize and analyze network structures by constructing and displaying network graphs.Whether you're working with communication networks, ...
IEEE27d
A Spatio-Temporal Tensor Graph Neural Network-Based Method for Node-Link Prediction in Port Networks
Therefore, to effectively utilize the information of the dynamic network and improve the prediction efficiency as well as the prediction accuracy, this paper proposes a spatio-temporal tensor graph ...
IEEE17d
Multimodal Knowledge Graph Embedding With Self-Attention Graph Neural Network
Addressing this shortcoming, we introduce the self-attention graph neural network model (SAGNN). This model implements self-attention mechanisms for composite entities within multimodal KGs, allowing ...
GitHub7d
Network Analysis Made Simple
Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple ...