Results 311 to 320 of about 2,598,126 (331)

wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction

International Workshop on Complex Networks & Their Applications, 2021
Graph Neural Networks (GNNs) have been widely used to learn representations on graphs and tackle many real-world problems from a wide range of domains.
Marco Grassia, G. Mangioni
semanticscholar   +1 more source

WSGCN4SLP: Weighted Signed Graph Convolutional Network for Service Link Prediction

2021 IEEE International Conference on Web Services (ICWS), 2021
Learning network representations of Web services plays a critical role in the service ecosystem and facilitates many downstream tasks, e.g., service composition, service recommendation, service clustering, and service classification, etc.
Yong Xiao, Guosheng Kang, Jianxun Liu, Buqing Cao, Linghang Ding   +4 more
semanticscholar   +1 more source

A spectral graph convolution for signed directed graphs via magnetic Laplacian

Neural Networks, 2023
Signed directed graphs contain both sign and direction information on their edges, providing richer information about real-world phenomena compared to unsigned or undirected graphs.
Taewook Ko, Y. Choi, Chong-Kwon Kim
semanticscholar   +1 more source

Connected signed graphs L-cospectral to signed ∞-graphs

Linear and Multilinear Algebra, 2018
A signed graph is a pair Γ=(G,σ), where G=(V(G),E(G)) is a graph and σ:E(G)→{+1,−1} is the sign function on the edges of G.
Belardo, Francesco, Brunetti, Maurizio
openaire   +3 more sources

Adaptive Bipartite Event-Triggered Time-Varying Output Formation Tracking of Heterogeneous Linear Multi-Agent Systems Under Signed Directed Graph

IEEE Transactions on Neural Networks and Learning Systems, 2022
This study investigates the adaptive bipartite event-triggered time-varying output formation tracking for heterogeneous linear multi-agent systems (MASs) under signed directed communication topology.
Yuliang Cai, Hua-guang Zhang, Zhiyun Gao, Liu Yang, Qiang He   +4 more
semanticscholar   +1 more source

Line Graphs of Signed Graphs

2021
Signed graphs are another interesting variation of graphs, usually taken to be graphs in which each edge is either positive or negative. In the literature, there is more than one option for the rule for the labels on the edges of the line graph, and two of these will be considered here.
Jay S. Bagga, Lowell W. Beineke
openaire   +2 more sources

Signed Graph Attention Networks

International Conference on Artificial Neural Networks, 2019
Graph or network data is ubiquitous in the real world, including social networks, information networks, traffic networks, biological networks and various technical networks.
Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng   +3 more
semanticscholar   +1 more source

Bipartite Synchronization and Convergence Analysis for Network of Harmonic Oscillator Systems With Signed Graph and Time Delay

IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2019
This paper considers the distributed control problem for a network of harmonic oscillator systems with delayed velocity coupling and signed graph topology containing a directed spanning tree.
Qiang Song, G. Lu, G. Wen, Jinde Cao, Fang Liu   +4 more
semanticscholar   +1 more source

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation

Information Processing & Management, 2023
Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng   +6 more
semanticscholar   +1 more source

Relation between the rank of a signed graph and the rank of its underlying graph

Linear and multilinear algebra, 2018
A signed graph is a graph with a sign attached to each of its edges, where G is the underlying graph of . Let denote the adjacency matrix of , and be the adjacency matrix of G. The rank of G (resp. ), written as (resp. ), refers to the rank of (resp. )).
Shujing Wang
semanticscholar   +1 more source