How Gurhan Kiziloz’ Fiery Edge Put BlockDAG on Track for Top 100 Status

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Simplified multi-view graph neural network for multilingual knowledge graph completion

SM-GNN prunes multi-view GNNs to pure propagation, cutting training time while outperforming prior MKGC accuracies on two ...
IEEE

Learning Graph Dynamics With External Contact for Deformable Linear Objects Shape Control

Abstract: This letter focuses on the shape control manipulation of deformable linear objects (DLO) with a dual-arm robotic system. One significant challenge of DLO shape control is the underactuated ...

AI models are starting to crack high-level math problems

“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
IEEE

Solving Combined Field Integral Equations With Physics-Informed Graph Residual Learning for EM Scattering of 3-D PEC Targets

Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...