research
∙
01/08/2022
Scaling Knowledge Graph Embedding Models
Developing scalable solutions for training Graph Neural Networks (GNNs) ...
share
research
∙
02/14/2021
Knowledge Graph Embedding using Graph Convolutional Networks with Relation-Aware Attention
Knowledge graph embedding methods learn embeddings of entities and relat...
research
∙
02/14/2021
Relation-aware Graph Attention Model With Adaptive Self-adversarial Training
This paper describes an end-to-end solution for the relationship predict...
research
∙
04/06/2020
Forecasting in multivariate irregularly sampled time series with missing values
Sparse and irregularly sampled multivariate time series are common in cl...
research
∙
01/22/2020
A Neural Architecture for Person Ontology population
A person ontology comprising concepts, attributes and relationships of p...
research
∙
11/23/2018
Fine Grained Classification of Personal Data Entities
Entity Type Classification can be defined as the task of assigning categ...
research
∙
02/08/2018
Deep Learning with Apache SystemML
Enterprises operate large data lakes using Hadoop and Spark frameworks t...
research
∙
01/02/2018
