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Explore semantic topics and author communities for citation recommendation in bipartite bibliographic network
Citation recommendation is the task of suggesting a list of references for an author given a manuscript. This is important for academic …
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Hashing for adaptive real-time graph stream classification with concept drifts
Many applications involve processing networked streaming data in a timely manner. Graph stream classification aims to learn a …
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Heterogeneous information network embedding based personalized query-focused astronomy reference paper recommendation
Fast-growing scientific papers bring the problem of rapidly and accurately finding a list of reference papers for a given manuscript. …
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Low-rank and sparse matrix factorization for scientific paper recommendation in heterogeneous network
With the rapid growth of scientific publications, it is hard for researchers to acquire appropriate papers that meet their …
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Multi-instance learning with discriminative bag mapping
Multi-instance learning (MIL) is a useful tool for tackling labeling ambiguity in learning because it allows a bag of instances to …
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Multiple structure-view learning for graph classification
Many applications involve objects containing structure and rich content information, each describing different feature aspects of the …
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Query-oriented citation recommendation based on network correlation
With the rapid proliferation of information technology, researchers find it more and more difficult to rapidly find appropriate …
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Supervised learning for suicidal ideation detection in online user content
Early detection and treatment are regarded as the most effective ways to prevent suicidal ideation and potential suicide attempts-two …
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Boosting for graph classification with universum
Recent years have witnessed extensive studies of graph classification due to the rapid increase in applications involving structural …
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Multi-document summarization based on sentence cluster using Non-negative Matrix Factorization
Multi-document summarization aims to produce a concise summary that contains salient information from a set of source documents. Many …
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