Social Networking (Online)

Generative Evolutionary Anomaly Detection in Dynamic Networks
Anomaly detection in dynamic networks aims to find network elements (e.g., nodes, edges, subgraphs, change points) with significantly …
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Role Discovery-Guided Network Embedding Based on Autoencoder and Attention Mechanism
Recently, network embedding (NE) is an amazing research point in complex networks and devoted to a variety of tasks. Nearly, all the …
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Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism
Network representation learning or embedding aims to project the network into a low-dimensional space that can be devoted to different …
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Inductive Link Prediction via Interactive Learning Across Relations in Multiplex Networks
Network embedding is an important class of link prediction methods, which can use the distance between learned low-dimensional node …
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