Optical Diversity and Nanostructural Organization in the Colored Scales of Sternotomis
Advanced Optical Materials, EarlyView.Vivid colors in Sternotomis beetles originate from nanoscale photonic architectures embedded within individual scales. Here, we provide a comparative optical and structural analysis of 57 scale types that reveal how ordered, quasi‐ordered, and disordered 3D networks tune color, saturation, and angular response.
Viola Bauernfeind +5 more
wiley +1 more source
Subgraph extraction and graph representation learning for single cell Hi-C imputation and clustering. [PDF]
Brief Bioinform, 2023 Zheng J, Yang Y, Dai Z.
europepmc +1 more source
Disentangled Generative Graph Representation Learning
Recently, generative graph models have shown promising results in learning graph representations through self-supervised methods. However, most existing generative graph representation learning (GRL) approaches rely on random masking across the entire graph, which overlooks the entanglement of learned representations.
Hu, Xinyue +5 more
openaire +2 more sources
Bridging Optical and Mechanical Metamaterial/Metasurface Realms Toward Integrated Meta‐Systems
Advanced Optical Materials, EarlyView.This perspective describes the rise of metamaterials in the field of materials science, specifically with optical and mechanical functionality. Fundamentals of both optical and mechanical metamaterials are discussed with a review of state‐of‐the‐art metamaterial science.
Justin Brackenridge +2 more
wiley +1 more source
Advancing Biomedicine with Graph Representation Learning: Recent Progress, Challenges, and Future Directions. [PDF]
Yearb Med Inform, 2023 Li F, Nian Y, Sun Z, Tao C.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Speos: an ensemble graph representation learning framework to predict core gene candidates for complex diseases. [PDF]
Nat Commun, 2023 Ratajczak F +5 more
europepmc +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Understanding microbiome dynamics via interpretable graph representation learning. [PDF]
Sci Rep, 2023 Melnyk K, Weimann K, Conrad TOF.
europepmc +1 more source
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
Advanced Robotics Research, EarlyView.The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang +7 more
wiley +1 more source