The Web Is Growing A Second Layer – Almost A Third Head

Google shipped two new specs weeks apart. Here's what OKF and ARD actually do, how they differ from LLMs.txt and MCP, and ...
IEEE

Multi-UAV Coverage Path Planning Based on Balanced Graph Partitioning

Abstract: Coverage path planning is a critical problem in multi-unmanned aerial vehicle (UAV) systems for daily inspection and patrol missions, requiring coordinated movements of UAVs along ...
GitHub

Neural QAOA²: Differentiable Joint Graph Partitioning and Parameter Initialization for Quantum Combinatorial Optimization

The quantum approximate optimization algorithm (QAOA) holds promise for combinatorial optimization but is constrained by limited qubits. While divide-and-conquer frameworks like QAOA 2 address ...
Frontiers

A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...
EurekAlert!

Missing data recovery for heterogeneous graphs with incremental multi-source data fusion

Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications. Often, some data are omitted during manual construction, leading to data ...
EurekAlert!

A multi-view heterogeneous and extractive graph attention network for evidential document-level event factuality identification

Document-level Event Factuality Identification (DEFI) has always been the focus of Information Extraction and Information Credibility. This paper studies a novel task named Evidential Document-level ...
KTLA

Southern California’s first indoor multi-level karting track opens in Culver City

K1 Speed has opened a new indoor karting facility in Culver City, featuring the first multi-level electric go-kart track in Southern California. The track includes sharp turns, acceleration zones and ...
C&EN

A Multi-Stage Graph Neural Network–Physics-Informed Neural Network (GNN–PINN) Framework for Thermodynamic Property Prediction

Department of Chemistry and Chemical Engineering, Education and Research Center for Smart Energy and Materials, Inha University, Incheon 22212, Republic of Korea ...