Results 91 to 100 of about 75,062 (184)

Human cytokine and coronavirus nucleocapsid protein interactivity using large-scale virtual screens

Frontiers in Bioinformatics
Understanding the interactions between SARS-CoV-2 and the human immune system is paramount to the characterization of novel variants as the virus co-evolves with the human host.
Phillip J. Tomezsko, Colby T. Ford, Colby T. Ford, Colby T. Ford, Avery E. Meyer, Adam M. Michaleas, Rafael Jaimes   +6 more
doaj   +1 more source

Encrypted-State Quantum Compilation Scheme Based on Quantum Circuit Obfuscation for Quantum Cloud Platforms

IEEE Transactions on Quantum Engineering
With the rapid advancement of quantum computing, quantum compilation has become a crucial layer connecting high-level algorithms with physical hardware.
Chenyi Zhang, Tao Shang, Xueyi Guo, Yuanjing Zhang   +3 more
doaj   +1 more source

Fast Computation of Graph Edit Distance

, 2017
The graph edit distance (GED) is a well-established distance measure widely used in many applications. However, existing methods for the GED computation suffer from several drawbacks including oversized search space, huge memory consumption, and lots of expensive backtracking.
Chen, Xiaoyang, Huo, Hongwei, Huan, Jun, Vitter, Jeffrey Scott   +3 more
openaire   +2 more sources

Learning the Edit Costs of Graph Edit Distance Applied to Ligand-Based Virtual Screening. [PDF]

Curr Top Med Chem, 2020
Garcia-Hernandez C, Fernández A, Serratosa F.   +2 more
europepmc   +1 more source

Geometry of Graph Edit Distance Spaces

, 2015
In this paper we study the geometry of graph spaces endowed with a special class of graph edit distances. The focus is on geometrical results useful for statistical pattern recognition. The main result is the Graph Representation Theorem. It states that a graph is a point in some geometrical space, called orbit space. Orbit spaces are well investigated
openaire   +2 more sources

Graph node matching for edit distance

Pattern Recognition Letters
International audience ; Graphs are commonly used to model interactions between elements of a set, but computing the Graph Edit Distance between two graphs is an NP-complete problem that is particularly challenging for large graphs. To address this problem, we propose a supervised metric learning approach that combines Graph Neural Networks and optimal
Aldo Moscatelli, Jason Piquenot, Maxime Bérar, Pierre Héroux, Sébastien Adam   +4 more
openaire   +2 more sources

FA-SNet: social network construction to represent social relationships based on facial analysis

Applied Network Science
Social networks have become one of the main structures for representing people’s relationships, so building a structure that accurately describes relationships is an essential issue for the scientific community focused on analyzing relationships ...
Jasiel Toscano, Florencia Valdez, Domingo Mery   +2 more
doaj   +1 more source

Ligand-Based Virtual Screening Using Graph Edit Distance as Molecular Similarity Measure. [PDF]

J Chem Inf Model, 2019
Garcia-Hernandez C, Fernández A, Serratosa F.   +2 more
europepmc   +1 more source

Pairwise graph edit distance characterizes the impact of the construction method on pangenome graphs. [PDF]

Bioinformatics
Dubois S, Zytnicki M, Lemaitre C, Faraut T.   +3 more
europepmc   +1 more source

Table Structure Recognition via Multimodality and Graph Attention Networks

物联网学报
Tables, as a highly condensed and structured form of information presentation, are ubiquitous across documents and images. Accurate table structure recognition is a critical step in converting unstructured visual data into machine-interpretable ...
XU Chongshan, WU Lv, XU Ning, LI Ning, PAN Hao   +4 more
doaj