Results 21 to 30 of about 843,557 (192)

Hete_MESE: Multi-Dimensional Community Detection Algorithm Based on Multiplex Network Extraction and Seed Expansion for Heterogeneous Information Networks

IEEE Access, 2018
Most real-world information networks are heterogeneous, which contain multiple types of entities and relations between the entities. Large-scale and heterogeneity are the typical properties of heterogeneous information networks, and their community ...
Meilian Lu, Zhihe Qu, Ziheng Wang, Zhenglin Zhang   +3 more
doaj   +1 more source

Heterogeneous Network Motifs

CoRR, 2019
Many real-world applications give rise to large heterogeneous networks where nodes and edges can be of any arbitrary type (e.g., user, web page, location). Special cases of such heterogeneous graphs include homogeneous graphs, bipartite, k-partite, signed, labeled graphs, among many others.
Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao 0002, Sungchul Kim, Eunyee Koh   +6 more
openaire   +2 more sources

Distributed Beamforming and Power Allocation for Heterogeneous Networks with MISO Interference Channel

Sensors, 2021
To address the limitations of centralized resource allocation, i.e., high computational complexity and signaling overhead, a distributed beamforming and power allocation strategy is proposed for heterogeneous networks with multiple-input-single-output ...
Kisong Lee
doaj   +1 more source

DHLP 1&2: Giraph based distributed label propagation algorithms on heterogeneous drug-related networks

, 2020
Background and Objective: Heterogeneous complex networks are large graphs consisting of different types of nodes and edges. The knowledge extraction from these networks is complicated. Moreover, the scale of these networks is steadily increasing.
Ghadiri, Nasser, Maleki, Erfan Farhangi, Maleki, Zeinab, Shahreza, Maryam Lotfi   +3 more
core   +1 more source

Semantic-aware Heterogeneous Graph Attention Network Based on Multi-view RepresentationLearning [PDF]

Jisuanji kexue
In recent years,graph neural networks have received widespread attention for their ability to efficiently process complex structures and rich semantic information in heterogeneous graphs.Learning low-dimensional node embeddings of heterogeneous graphs ...
WANG Jinghong, WU Zhibing, WANG Xizhao, LI Haokang
doaj   +1 more source

Prediction of lncRNA–Disease Associations via Closest Node Weight Graphs of the Spatial Neighborhood Based on the Edge Attention Graph Convolutional Network

Frontiers in Genetics, 2022
Accumulated evidence of biological clinical trials has shown that long non-coding RNAs (lncRNAs) are closely related to the occurrence and development of various complex human diseases.
Jianwei Li, Jianwei Li, Mengfan Kong, Duanyang Wang, Zhenwu Yang, Xiaoke Hao   +5 more
doaj   +1 more source

Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs [PDF]

, 2017
Background: MicroRNAs (miRNAs) have been shown to play an important role in pathological initiation, progression and maintenance. Because identification in the laboratory of disease-related miRNAs is not straightforward, numerous network-based methods ...
Dinh-Toi Chu, Dinh-Toi Chu, Duc-Hau Le, Duc-Hau Le, Le Hoang Son, Le Hoang Son, Van-Huy Pham, Van-Huy Pham, Verbeke, Lieven   +4 more
core   +2 more sources

Network formation with heterogeneous players [PDF]

Games and Economic Behavior, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andrea Galeotti, Sanjeev Goyal, Jurjen Kamphorst   +2 more
openaire   +6 more sources

Multityped Community Discovery in Time-Evolving Heterogeneous Information Networks Based on Tensor Decomposition

Complexity, 2018
The heterogeneous information networks are omnipresent in real-world applications, which consist of multiple types of objects with various rich semantic meaningful links among them.
Jibing Wu, Lianfei Yu, Qun Zhang, Peiteng Shi, Lihua Liu, Su Deng, Hongbin Huang   +6 more
doaj   +1 more source

MIRAI architecture for heterogeneous network [PDF]

IEEE Communications Magazine, 2002
One of the keywords that describe next-generation wireless communications is "seamless." As part of the e-Japan Plan promoted by the Japanese Government, the Multimedia Integrated Network by Radio Access Innovation project has as its goal the development of new technologies to enable seamless integration of various wireless access systems for practical
Wu, Gang, Mizuno, Mitsuhiko, Havinga, Paul J.M.   +2 more
openaire   +1 more source