IEEE

Hybrid Network Using Dynamic Graph Convolution and Temporal Self-Attention for EEG-Based Emotion Recognition

Abstract: The electroencephalogram (EEG) signal has become a highly effective decoding target for emotion recognition and has garnered significant attention from researchers. Its spatial topological ...
The New York Times

Venezuela Updates: Senate Advances Measure to Curb Trump’s Use of Force

In a rebuke to the president, the Senate narrowly agreed to bring up a War Powers Act resolution for a vote next week. The measure would require Mr. Trump to seek congressional authorization for ...
IEEE

RG-GCN: Improved Graph Convolution Neural Network Algorithm Based on Rough Graph

Abstract: The graph convolution neural network uses topological graph to portray inter-node relationships and update node features. However, the traditional topological graph can only describe the ...
IEEE

Classification of Functional Types of Lines in P&IDs Using a Graph Neural Network

Abstract: In recent years, with the use of computer-aided design software for most plant projects, intelligent piping and instrumentation diagrams (P&IDs) have become the default format for P&IDs.
IEEE

CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning

Abstract: Humans use causality and hypothetical retrospection in their daily decision-making, planning, and understanding of life events.1 The human mind, while retrospecting a given situation, think ...
IEEE

BrainyMP: Enhancing Motion Planning Using Graph Neural Network Inspired by Brain Spatial Relational Memory

Abstract: Efficient and reliable motion planning is essential for robots in transportation systems. Learning-based motion planners, especially those leveraging graph neural networks (GNNs), have ...
IEEE

Goal-Oriented Visual Semantic Navigation Using Semantic Knowledge Graph and Transformer

Abstract: When determining navigation actions, it is important to design effective visual and semantic representations of the observation scenes and robust navigation strategies. The paper proposes a ...
IEEE

Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks

Abstract: The rapid expansion of Internet of Things (IoT) networks has significantly increased security vulnerabilities, exposing critical infrastructures to sophisticated cyberattacks. Traditional ...
IEEE

SmartMap: Architecture-Agnostic CGRA Mapping Using Graph Traversal and Reinforcement Learning

Abstract: Coarse-Grained Reconfigurable Architectures (CGRAs) have been the subject of extensive research due to their balance between performance, energy efficiency, and flexibility. CGRAs must be ...