Xiangyi Teng
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View article: Multi-level contrastive learning for exploring graphs with higher-order dependencies in sequential data
Multi-level contrastive learning for exploring graphs with higher-order dependencies in sequential data Open
Graph embedding, which maps nodes into a low-dimensional space while preserving their proximities based on graph topology, has gained significant attention. Traditional methods often assume the Markov property, thus overlooking higher-orde…
View article: AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks Open
In real-world applications, spectral Graph Neural Networks (GNNs) are powerful tools for processing diverse types of graphs. However, a single GNN often struggles to handle different graph types—such as homogeneous and heterogeneous graphs…
View article: AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks
AutoSGNN: Automatic Propagation Mechanism Discovery for Spectral Graph Neural Networks Open
In real-world applications, spectral Graph Neural Networks (GNNs) are powerful tools for processing diverse types of graphs. However, a single GNN often struggles to handle different graph types-such as homogeneous and heterogeneous graphs…
View article: Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective
Exploring Knowledge Transfer in Evolutionary Many-task Optimization: A Complex Network Perspective Open
The field of evolutionary many-task optimization (EMaTO) is increasingly recognized for its ability to streamline the resolution of optimization challenges with repetitive characteristics, thereby conserving computational resources. This p…
View article: An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning
An Efficient Generation Method based on Dynamic Curvature of the Reference Curve for Robust Trajectory Planning Open
Trajectory planning is a fundamental task on various autonomous driving platforms, such as social robotics and self-driving cars. Many trajectory planning algorithms use a reference curve based Frenet frame with time to reduce the planning…