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Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traff

BACKGROUND

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How the story developed

7 May

Interpreting Manifolds and Graph Neural Embeddings from Internet of Things Traffic Flows

REPORT · WHAT · ArXiv CS.AI

6.6

Other feeds and industry voices

26 Mar

Q-AGNN: Quantum-Enhanced Attentive Graph Neural Network for Intrusion Detection

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18 Jun

Timestamp-Aware Spatio-Temporal Graph Contrastive Learning for Network Intrusion Detection

arXiv:2606.17109v1 Announce Type: cross Abstract: Given their effectiveness in modeling the relational structure among network traffic flows, graph neural networks (GNNs) have

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19 Aug

Cognitive Graph Intelligence for Adaptive and Robust DDoS Attack Detection in Next Generation Networks

arXiv:2608.17352v1 Announce Type: new Abstract: Distributed Denial-of-Service (DDoS) attacks threaten network availability, requiring a cognitive detection process that senses

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20 Oct

$M^2Net$: Unifying Scale-Specific Structures and Prototype Decomposition for Spatial-Temporal Forecasting

arXiv:2610.24516v1 Announce Type: new Abstract: Spatial-temporal forecasting is pivotal for intelligent urban management yet remains challenging due to the intricate coupling of

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