Search Results for author: Navdeep Kaur

Found 5 papers, 1 papers with code

Ensembling Textual and Structure-Based Models for Knowledge Graph Completion

no code implementations7 Nov 2023 Ananjan Nandi, Navdeep Kaur, Parag Singla, Mausam

We consider two popular approaches to Knowledge Graph Completion (KGC): textual models that rely on textual entity descriptions, and structure-based models that exploit the connectivity structure of the Knowledge Graph (KG).

Knowledge Graph Completion

NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs

no code implementations15 May 2023 Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam

While Knowledge Graph Completion (KGC) on static facts is a matured field, Temporal Knowledge Graph Completion (TKGC), that incorporates validity time into static facts is still in its nascent stage.

Language Modelling Link Prediction +2

Knowledge Graph Alignment using String Edit Distance

no code implementations13 Mar 2020 Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan

In this work, we propose a novel knowledge graph alignment technique based upon string edit distance that exploits the type information between entities and can find similarity between relations of any arity

Non-Parametric Learning of Lifted Restricted Boltzmann Machines

no code implementations9 Jan 2020 Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan

We consider the problem of discriminatively learning restricted Boltzmann machines in the presence of relational data.

regression

Neural Networks for Relational Data

1 code implementation28 Aug 2019 Navdeep Kaur, Gautam Kunapuli, Saket Joshi, Kristian Kersting, Sriraam Natarajan

While deep networks have been enormously successful over the last decade, they rely on flat-feature vector representations, which makes them unsuitable for richly structured domains such as those arising in applications like social network analysis.

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