Results 1 to 10 of about 8,419,643 (305)
Dynamic Network Embedding Survey [PDF]
Neurocomputing, 2021 Since many real world networks are evolving over time, such as social networks and user-item networks, there are increasing research efforts on dynamic network embedding in recent years.
Guotong Xue +5 more
semanticscholar +4 more sources
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec [PDF]
Web Search and Data Mining, 2018 Since the invention of word2vec, the skip-gram model has significantly advanced the research of network embedding, such as the recent emergence of the DeepWalk, LINE, PTE, and node2vec approaches.
Dong, Yuxiao +5 more
core +2 more sources
DVNE-DRL: dynamic virtual network embedding algorithm based on deep reinforcement learning [PDF]
Scientific Reports, 2023 Virtual network embedding (VNE), as the key challenge of network resource management technology, lies in the contradiction between online embedding decision and pursuing long-term average revenue goals.
Xiancui Xiao
doaj +2 more sources
Spatially embedded random networks [PDF]
Physical Review E, 2007 Many real-world networks analyzed in modern network theory have a natural spatial element; e.g., the Internet, social networks, neural networks, etc. Yet, aside from a comparatively small number of somewhat specialized and domain-specific studies, the ...
B. Bollobás +10 more
core +5 more sources
Proximity-Based Compression for Network Embedding [PDF]
Frontiers in Big Data, 2021 Network embedding that encodes structural information of graphs into a low-dimensional vector space has been proven to be essential for network analysis applications, including node classification and community detection.
Muhammad Ifte Islam +4 more
doaj +2 more sources
Attributed Social Network Embedding [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2017 Embedding network data into a low-dimensional vector space has shown promising performance for many real-world applications, such as node classification and entity retrieval.
Lizi Liao +3 more
semanticscholar +6 more sources
Effective attributed network embedding with information behavior extraction [PDF]
PeerJ Computer Science, 2022 Network embedding has shown its effectiveness in many tasks, such as link prediction, node classification, and community detection. Most attributed network embedding methods consider topological features and attribute features to obtain a node embedding ...
Ganglin Hu, Jun Pang, Xian Mo
doaj +3 more sources
Relation Structure-Aware Heterogeneous Information Network Embedding [PDF]
AAAI Conference on Artificial Intelligence, 2019 Heterogeneous information network (HIN) embedding aims to embed multiple types of nodes into a low-dimensional space. Although most existing HIN embedding methods consider heterogeneous relations in HINs, they usually employ one single model for all ...
Hu, Linmei +3 more
core +2 more sources
Virtual Network Embedding: A Survey
IEEE Communications Surveys & Tutorials, 2013 Network virtualization is recognized as an enabling technology for the future Internet. It aims to overcome the resistance of the current Internet to architectural change. Application of this technology relies on algorithms that can instantiate virtualized networks on a substrate infrastructure, optimizing the layout for service-relevant metrics.
A. Fischer +4 more
semanticscholar +4 more sources
Method of Attributed Heterogeneous Network Embedding with Multiple Features [PDF]
Jisuanji kexue, 2022 Network embedding aims to represent nodes in unstructured network with low-dimensional,real-valued vectors,so that node embedding can retain the structural and attribute features of the original network as much as possible.However,current research mainly
TANG Qi-you, ZHANG Feng-li, WANG Rui-jin, WANG Xue-ting, ZHOU Zhi-yuan, HAN Ying-jun
doaj +1 more source