Paper-Conference

Enhancing Network Alignment through Multi-Scale Information Fusion
The network alignment task aims to identify the correspondence of the same nodes across networks, which plays a crucial role in many …
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Temporal Graph Representation Learning with Adaptive Augmentation Contrastive
Temporal graph representation learning aims to generate low-dimensional dynamic node embeddings to capture temporal information as well …
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Role-Oriented Dynamic Network Embedding
Exploring the differences and important patterns of nodes from the perspective of roles has gradually developed into an interesting and …
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Towards a Multi-View Attentive Matching for Personalized Expert Finding
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An Effective and Robust Framework by Modeling Correlations of Multiplex Network Embedding
The dependencies across different layers are an important property in multiplex networks and a few methods have been proposed to learn …
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Self-Guided Community Detection on Networks with Missing Edges
The vast majority of community detection algorithms assume that the networks are totally observed. However, in reality many networks …
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Transformer Reasoning Network for Personalized Review Summarization
Review summarization aims to generate condensed text for online product reviews, and has attracted more and more attention in …
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NRPA: Neural Recommendation with Personalized Attention
Existing review-based recommendation methods usually use the same model to learn the representations of all users/items from reviews …
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