8 Result(s)
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Article
Open AccessMulti-view Heterogeneous Graph Neural Networks for Node Classification
Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been proposed for processing heterogeneous graphs, which are termed Hete...
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Article
Open AccessBatchHL \(^{+}\) : batch dynamic labelling for distance queries on large-scale networks
Many real-world applications operate on dynamic graphs to perform important tasks. In this article, we study batch-dynamic algorithms that are capable of updating distance labelling efficiently in order to ref...
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Article
Open AccessEfficient maintenance of highway cover labelling for distance queries on large dynamic graphs
Graphs in real-world applications are typically dynamic which undergo rapid changes in their topological structure over time by either adding or deleting edges or vertices. However, it is challenging to design...
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Article
Open AccessLiquid biopsy-based identification of prognostic and immunotherapeutically relevant gene signatures in lower grade glioma
Recent studies have shown that immunotherapies, including peptide vaccines, remain promising strategies for patients with lower grade glioma (LGG); however new biomarkers need to be developed to identify patie...
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Article
Open AccessToward Enhancing Room Layout Estimation by Feature Pyramid Networks
As a fundamental part of indoor scene understanding, the research of indoor room layout estimation has attracted much attention recently. The task is to predict the structure of a room from a single image. In ...
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Article
Open AccessTumor antigens and immune subtypes of glioblastoma: the fundamentals of mRNA vaccine and individualized immunotherapy development
Glioblastoma (GBM) is the most common primary brain tumor in adults and is notorious for its lethality. Given its limited therapeutic measures and high heterogeneity, the development of new individualized ther...
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Chapter and Conference Paper
Supervised Group Embedding for Rumor Detection in Social Media
To detect rumors automatically in social media, methods based on recurrent neural network and convolutional neural network have been proposed. These methods split a stream of posts related to an event into sev...
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Chapter and Conference Paper
A Semantic Portal for Next Generation Monitoring Systems
We present a semantic technology-based approach to emerging monitoring systems based on our linked data approach in the Tetherless World Constellation Semantic Ecology and Environment Portal (SemantEco). Our i...
