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02/13/2022
Learning Asymmetric Embedding for Attributed Networks via Convolutional Neural Network
Recently network embedding has gained increasing attention due to its ad...
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02/13/2022
Vital Node Identification in Complex Networks Using a Machine Learning-Based Approach
Vital node identification is the problem of finding nodes of highest imp...
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12/06/2021
Influential Node Ranking in Complex Networks Using A Randomized DynamicsSensitive Approach
Identifying the most influential nodes in information networks has been ...
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12/21/2020
Who will accept my request? Predicting response of link initiation in two-way relation networks
Popularity of social networks has rapidly increased over the past few ye...
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05/08/2020
Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Influence maximization is a widely studied topic in network science, whe...
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05/08/2020
Adversarial Graph Embeddings for Fair Influence Maximization over SocialNetworks
Influence maximization is a widely studied topic in network science, whe...
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12/24/2019
Detection of Community Structures in Networks with Nodal Features based on Generative Probabilistic Approach
Community detection is considered as a fundamental task in analyzing soc...
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10/08/2019
Self-Paced Multi-Label Learning with Diversity
The major challenge of learning from multi-label data has arisen from th...
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04/23/2019
Link Prediction in Multiplex Networks based on Interlayer Similarity
Some networked systems can be better modelled by multilayer structure wh...
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03/04/2019
Optimal Clustering of Energy Consumers based on Entropy of the Correlation Matrix between Clusters
Increased deployment of residential smart meters has made it possible to...
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10/19/2018
QANet: Tensor Decomposition Approach for Query-based Anomaly Detection in Heterogeneous Information Networks
Complex networks have now become integral parts of modern information in...
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01/07/2018
