SOTAVerified

Network Embedding

Network Embedding, also known as "Network Representation Learning", is a collective term for techniques for mapping graph nodes to vectors of real numbers in a multidimensional space. To be useful, a good embedding should preserve the structure of the graph. The vectors can then be used as input to various network and graph analysis tasks, such as link prediction

Source: Tutorial on NLP-Inspired Network Embedding

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 403 papers

TitleStatusHype
Space-Invariant Projection in Streaming Network Embedding—0
DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News DetectionCode0
Cross Version Defect Prediction with Class Dependency Embeddings—0
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives—0
Recommending on graphs: a comprehensive review from a data perspective—0
A Model-data-driven Network Embedding Multidimensional Features for Tomographic SAR Imaging—0
An Isolation-Aware Online Virtual Network Embedding via Deep Reinforcement Learning—0
DyCSC: Modeling the Evolutionary Process of Dynamic Networks Based on Cluster StructureCode0
Embedding Representation of Academic Heterogeneous Information Networks Based on Federated Learning—0
Attributed Network Embedding Model for Exposing COVID-19 Spread Trajectory Archetypes—0
Cross-Network Social User Embedding with Hybrid Differential Privacy GuaranteesCode0
Associative Learning for Network Embedding—0
Signed Network Embedding with Application to Simultaneous Detection of Communities and Anomalies—0
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks—0
NECA: Network-Embedded Deep Representation Learning for Categorical Data—0
Deep Partial Multiplex Network Embedding—0
Pay Attention to Relations: Multi-embeddings for Attributed Multiplex Networks—0
Grammar-Based Grounded Lexicon Learning—0
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks—0
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network—0
A multi-domain VNE algorithm based on multi-objective optimization for IoD architecture in Industry 4.0—0
A Multi-Domain VNE Algorithm based on Load Balancing in the IoT networks—0
VNE Strategy based on Chaotic Hybrid Flower Pollination Algorithm Considering Multi-criteria Decision Making—0
Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning—0
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode—0
Show:102550
← PrevPage 5 of 17Next →

No leaderboard results yet.