Rose Yu

CSI: A Hybrid Deep Model for Fake News.

Graph neural networks: A review of methods and applications

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Graph convolutional networks: a comprehensive review

Federated Tensor Mining for Secure Industrial Internet of Things

DeepGCNs: Can GCNs Go As Deep As CNNs?

Graph Neural Networks: A Review of Methods and Applications

The ITensor Software Library for Tensor Network Calculations

Multi-scale tensor network architecture for machine learning

Fake News Detection on Social Media

Deep Learning on Graphs: A Survey

Industrial Internet-of-Things Security Enhanced With Deep Learning Approaches for Smart Cities

Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

Deep Learning for Generic Object Detection: A Survey

Virtually in this together – how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis

Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams

Graph Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting.

Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology

GLAD

Long-term Forecasting using Tensor-Train RNNs