This article presents a new method called Anchoring Path Sentence Transformer (APST) to predict missing relations in Knowledge Graphs (KGs). The APST alleviates the reliance on Closed Paths (CPs) when…
Continue readingThis research investigates the ability of Large Language Models (LLMs) to reason with knowledge graphs they learned during pre-training. The study aims to understand the accuracy of LLMs in recalling…
Continue readingThe paper presents a neuro-symbolic framework, PSYCHIC, developed for the Scholarly Question Answering over Linked Data (Scholarly QALD) challenge at The International Semantic Web Conference 2023. This challenge focuses on…
Continue readingThe article by Satvik Garg, Shivam Parikh, and Somya Garg, published on September 28, 2023, explores the prominence of Knowledge Graphs (KGs) in Healthcare AI, with a particular focus on…
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