research
∙
10/12/2020
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Over the past decade, multivariate time series classification (MTSC) has...
share
research
∙
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...
research
∙
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...
research
∙
06/02/2020
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
We aim at solving the problem of predicting people's ideology, or politi...
research
∙
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 ...
research
∙
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...
research
∙
05/03/2020
Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network
Multivariate time series (MTS) forecasting is an important problem in ma...
research
∙
05/25/2019