Results 291 to 300 of about 2,949,927 (358)

The impact of intransitivity on the Elo rating system. [PDF]

open access: yesPLoS One
Hamilton AH, Kalenkova A, Roughan M.
europepmc   +1 more source

Community detection for directed networks revisited using bimodularity. [PDF]

open access: yesProc Natl Acad Sci U S A
Cionca A, Chan CHM, Van De Ville D.
europepmc   +1 more source

Membership Problem with Adjacency Matrix

Computación y Sistemas, 2021
In this article, proposed a algorithm to solve the membership problem in Hyperedge Replacement Grammars (HRG). Given a hypergraph H with labeled nodes rooted and directed hyperedges, the problem consists in determining if H 2 L(G), where G is in HRG, this is to say, if H is in the language generated by G, for this the analysis is done directly in the ...
Yolanda Moyao Martinez   +3 more
openaire   +2 more sources

Arc Adjacency Matrix-Based Fast Ellipse Detection

IEEE Transactions on Image Processing, 2020
Fast and accurate ellipse detection is critical in certain computer vision tasks. In this paper, we propose an arc adjacency matrix-based ellipse detection (AAMED) method to fulfill this requirement. At first, after segmenting the edges into elliptic arcs, the digraph-based arc adjacency matrix (AAM) is constructed to describe their triple sequential ...
Cai Meng   +3 more
openaire   +3 more sources

Contrastive Graph Convolutional Networks With Generative Adjacency Matrix

IEEE Transactions on Signal Processing, 2023
Semi-supervised node classification with Graph Convolutional Network (GCN) is an attractive topic in social media analysis and applications. Recent studies show that GCN-based classification methods can facilitate the accuracy increase of learning ...
Luying Zhong   +3 more
semanticscholar   +1 more source

DAMR: Dynamic Adjacency Matrix Representation Learning for Multivariate Time Series Imputation

Proc. ACM Manag. Data, 2023
Missing data imputation for location-based sensor data has attracted much attention in recent years. The state-of-the-art imputation methods based on graph neural networks have a priori assumption that the spatial correlations between sensor locations ...
Xiaobin Ren   +5 more
semanticscholar   +1 more source

Home - About - Disclaimer - Privacy