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Tech Xplore on MSN7d
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-Reuse15d
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 ...
IEEE26d
GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection
We propose GTAE-IDS, a novel unsupervised packet-based graph neural network framework aimed at early and precise anomaly detection in network traffic. GTAE-IDS employs graph embeddings to capture and ...
IEEE28d
Dual-Channel BiGRU-Transformer-Graph Fusion Network for Space Micro-motion Targets Recognition Based on Radar Network Systems
A space micro-motion targets recognition method based on radar network systems (RNS) with a dual-channel bidirectional gated recurrent unit (BiGRU)-Transformer-graph fusion (DC-BiGT-GF) network is ...