activity
20152020
most citedIntroduction to Neural Network based Approaches for Question Answering over Knowledge Graphs

42 citations · 42 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG2020

Message Passing for Hyper-Relational Knowledge Graphs

Mikhail Galkin, Priyansh Trivedi, Gaurav Maheshwari +2

Hyper-relational knowledge graphs (KGs) (e.g., Wikidata) enable associating additional key-value pairs along with the main triple to disambiguate, or restrict the validity of a fac…

cs.CL201942 cited

Introduction to Neural Network based Approaches for Question Answering over Knowledge Graphs

Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari +3

Question answering has emerged as an intuitive way of querying structured data sources, and has attracted significant advancements over the years. In this article, we provide an ov…

cs.LG2018

Learning to Rank Query Graphs for Complex Question Answering over Knowledge Graphs

Gaurav Maheshwari, Priyansh Trivedi, Denis Lukovnikov +3

In this paper, we conduct an empirical investigation of neural query graph ranking approaches for the task of complex question answering over knowledge graphs. We experiment with s…

cs.AI2018

Formal Ontology Learning from English IS-A Sentences

Sourish Dasgupta, Ankur Padia, Gaurav Maheshwari +2

Ontology learning (OL) is the process of automatically generating an ontological knowledge base from a plain text document. In this paper, we propose a new ontology learning approa…

cs.AI2015

BitSim: An Algebraic Similarity Measure for Description Logics Concepts

Sourish Dasgupta, Gaurav Maheshwari, Priyansh Trivedi

In this paper, we propose an algebraic similarity measure σBS (BS stands for BitSim) for assigning semantic similarity score to concept definitions in ALCH+ an expressive fragment…