research
∙
02/14/2023
Algorithm Selection for Deep Active Learning with Imbalanced Datasets
Label efficiency has become an increasingly important objective in deep ...
share
research
∙
02/18/2020
TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook
Since its inception, Facebook has become an integral part of the online ...
research
∙
01/31/2020
Physics-Guided Deep Neural Networks for PowerFlow Analysis
Solving power flow (PF) equations is the basis of power flow analysis, w...
research
∙
09/22/2019
Deep Universal Graph Embedding Neural Network
Learning powerful data embeddings has become a center piece in machine l...
research
∙
06/03/2019
A Fast-Optimal Guaranteed Algorithm For Learning Sub-Interval Relationships in Time Series
Traditional approaches focus on finding relationships between two entire...
research
∙
05/03/2019
Stability and Generalization of Graph Convolutional Neural Networks
Inspired by convolutional neural networks on 1D and 2D data, graph convo...
research
∙
05/21/2018
Graph Capsule Convolutional Neural Networks
Graph Convolutional Neural Networks (GCNNs) are the most recent exciting...
research
∙
02/16/2018