Results 261 to 270 of about 649,217 (300)

CAREPath: semantic context-aware reasoning paths with mechanism-augmented embeddings for drug repurposing. [PDF]

Brief Bioinform
Song H, Bang D, Koo B, Kim S, Lee S.
europepmc   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

A chromatin-structure-guided framework for predictive and interpretable regulatory genomics. [PDF]

Brief Bioinform
Ye B, Du L, Chen M, Dai Y, Ma A, Liang J.   +5 more
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, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

GRASSP: RNA language model-enhanced graph attention with adaptive gating for RNA-small molecule binding site prediction. [PDF]

Bioinformatics
Nguyen TL, Le NQK.
europepmc   +1 more source

From rules to foundation models: a comprehensive review of machine learning approaches for siRNA design. [PDF]

NAR Genom Bioinform
Khodagholi Z, Yousefi N.
europepmc   +1 more source

SemanticST: A Scalable Multi-Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi-Sample Integration in Spatial Transcriptomics. [PDF]

Adv Sci (Weinh)
Zahedi R, Argha A, Farbehi N, Bakhshayeshi I, Porntaveetus T, Ye Y, Lovell NH, Alinejad-Rokny H.   +7 more
europepmc   +1 more source

Stoic: fast and accurate protein stoichiometry prediction. [PDF]

Bioinformatics
Litvinov D, Pantolini L, Škrinjar P, Tauriello G, McCafferty CL, Engel BD, Schwede T, Durairaj J.   +7 more
europepmc   +1 more source

PaSTO-GNN: prompt-aware spatio-temporal graph neural networks for automatic essay scoring. [PDF]

Front Artif Intell
Alhothali A.
europepmc   +1 more source

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Rectilinear Graphs and Their Embeddings

SIAM Journal on Computing, 1985
Adapted from the authors' introduction: ''The problem we address in this paper is an embedding problem for a class of graphs which we call rectilinear graphs. These graphs are important in many VLSI layout problems. In fact, this problem arose in the implementation of ALI, a procedural language for VLSI design currently under development at Princeton ...
Gopalakrishnan Vijayan, Avi Wigderson
openaire   +3 more sources