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10/12/2020
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Over the past decade, multivariate time series classification (MTSC) has...
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08/19/2020
Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks
Multivariate time series (MTS) forecasting is an important problem in ma...
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08/18/2020
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting
Multivariate time series forecasting is widely used in various fields. R...
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07/12/2020
Heterogeneous Attributed Network Embedding with Graph Convolutional Networks
Network embedding which assigns nodes in networks to lowdimensional repr...
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05/22/2020
Deep Learning Based Detection and Localization of Cerebal Aneurysms in Computed Tomography Angiography
Detecting cerebral aneurysms is an important clinical task of brain comp...
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05/16/2020
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation
Graph similarity computation aims to predict a similarity score between ...
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05/14/2020
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning
In this work, we are interested in the large graph similarity computatio...
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05/03/2020