research
∙
01/23/2022
Investigating Expressiveness of Transformer in Spectral Domain for Graphs
Transformers have been proven to be inadequate for graph representation ...
share
research
∙
01/06/2022
Sparsity-based Feature Selection for Anomalous Subgroup Discovery
Anomalous pattern detection aims to identify instances where deviation f...
research
∙
11/23/2021
Post-discovery Analysis of Anomalous Subsets
Analyzing the behaviour of a population in response to disease and inter...
research
∙
11/05/2021
Automated Supervised Feature Selection for Differentiated Patterns of Care
An automated feature selection pipeline was developed using several stat...
research
∙
10/18/2021
Ranking Facts for Explaining Answers to Elementary Science Questions
In multiple-choice exams, students select one answer from among typicall...
research
∙
08/12/2021
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
Recently, several Knowledge Graph Embedding (KGE) approaches have been d...
research
∙
06/01/2021
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction
We present a novel method for relation extraction (RE) from a single sen...
research
∙
01/25/2021
CHOLAN: A Modular Approach for Neural Entity Linking on Wikipedia and Wikidata
In this paper, we propose CHOLAN, a modular approach to target end-to-en...
research
∙
09/18/2020
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network
In this paper, we present a novel method named RECON, that automatically...
research
∙
08/12/2020
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
Pretrained Transformer models have emerged as state-of-the-art approache...
research
∙
12/12/2019
