Deep node ranking for neuro‐symbolic structural node embedding and classification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22651
Abstract: Network node embedding is an active research subfield of complex network analysis. This paper contributes a novel approach to learning network node embeddings and direct node classification using a node ranking scheme coupled with an… read more here.
Keywords: node embedding; classification; network; deep node ... See more keywords
Signed Network Node Embedding via Dual Attention Mechanism
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3213319
Abstract: In signed networks, GNNs are used to get node embedding by aggregating node neighbor information. Most of the existing methods aggregate neighbor information from the node level, and the different paths between nodes and neighbors… read more here.
Keywords: network; node level; node embedding; attention ... See more keywords
A Novel Global Prototype-Based Node Embedding Technique
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DOI: 10.1109/access.2022.3225413
Abstract: Node embedding refers to learning or generating low-dimensional representations for nodes in a given graph. In the era of big data and large graphs, there has been a growing interest in node embedding across a… read more here.
Keywords: prototype based; novel global; embedding technique; global prototype ... See more keywords
Node Embedding for Security-Aware Clustering of Mobile Information-Centric Sensor Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3152183
Abstract: In cluster-based information-centric wireless sensor networks (ICWSNs), mobile sensor nodes are grouped into clusters in rounds. In each cluster, a cluster head (CH) is selected, which collects, aggregates, and forwards locally sensed data to a… read more here.
Keywords: information centric; sensor networks; security; node embedding ... See more keywords
Inferring Origin-Destination Flows From Population Distribution
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3075928
Abstract: Origin-Destination (OD) flow contains the information of direction and volume of population mobility between different regions in a city, having significant value in public transportation resource allocation. Nevertheless, OD flow data is difficult to be… read more here.
Keywords: node embedding; distribution; population distribution; origin destination ... See more keywords