Results 141 to 150 of about 206,716 (316)

Correction: Graph Algorithms for Condensing and Consolidating Gene Set Analysis Results. [PDF]

Mol Cell Proteomics, 2020
Savage SR, Shi Z, Liao Y, Zhang B.
europepmc   +1 more source

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

Advanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari, Supharoek Sornsomrit, Muhammad Ayaz Akbar, Stephan Rudykh   +3 more
wiley   +1 more source

Diversified Top-k Graph Pattern Matching

, 2013
Graph pattern matching has been widely used in e.g., social data analysis. A number of matching algorithms have been developed that, given a graph pattern Q and a graph G, compute the set M(Q;G) of matches of Q in G.
Wang, Xin, Fan, Wenfei; id_orcid, Wu, Yinghui   +2 more
core  

Graph Drawing Techniques for Geographic Visualization [PDF]

, 2004
Geovisualizers often need to represent data that consists of items related together. Such data sets can be abstracted to a mathematical structure, the graph.
Rodgers, Peter
core  

An Efficient Data Retrieval Parallel Reeb Graph Algorithm

, 2020
The Reeb graph of a scalar function that is defined on a domain gives a topologically meaningful summary of that domain. Reeb graphs have been shown in the past decade to be of great importance in geometric processing, image processing, computer graphics,
Paul Rosen, Mustafa Hajij
core   +1 more source

Multi-channel depth segmentation network based on 3D graph convolution algorithm and its application in point cloud segmentation

Alexandria Engineering Journal
At the current stage, 3D graph convolutional algorithms face the following issues: (1) The problem of determining the neighborhood in graph convolution. (2) The issue of fusing features at different depths in deep graph convolutional algorithms.
Yanming Zhao
doaj   +1 more source

On graph algorithms for large-scale graphs

, 2015
Die Anforderungen an Algorithmen hat sich in den letzten Jahren grundlegend geändert. Die Datengröße der zu verarbeitenden Daten wächst schneller als die zur Verfügung stehende Rechengeschwindigkeit. Daher sind neue Algorithmen auf sehr großen Graphen wie z.B.
openaire   +2 more sources

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Graph-based discovery of ontology change patterns [PDF]

, 2011
Ontologies can support a variety of purposes, ranging from capturing conceptual knowledge to the organisation of digital content and information. However, information systems are always subject to change and ontology change management can pose challenges.
Abgaz, Yalemisew, Abgaz, Yalemisew Mintsnote, Pahl, Claus, Javed, Muhammad   +3 more
core  

Bridging semantics and syntax with graph algorithms-state-of-the-art of extracting biomedical relations. [PDF]

Brief Bioinform, 2017
Luo Y, Uzuner Ö, Szolovits P.
europepmc   +2 more sources