3 citations · 8 across the 5 of their papers we have counts for
5 papers
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs
Ishaan Singh, Navdeep Kaur, Garima Gaur +1
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…
Computing and Maintaining Provenance of Query Result Probabilities in Uncertain Knowledge Graphs
Garima Gaur, Abhishek Dang, Arnab Bhattacharya +1
Knowledge graphs (KG) that model the relationships between entities as labeled edges (or facts) in a graph are mostly constructed using a suite of automated extractors, thereby inh…
BERT Meets Relational DB: Contextual Representations of Relational Databases
Siddhant Arora, Vinayak Gupta, Garima Gaur +1
In this paper, we address the problem of learning low dimension representation of entities on relational databases consisting of multiple tables. Embeddings help to capture semanti…
Tracking entities in technical procedures -- a new dataset and baselines
Saransh Goyal, Pratyush Pandey, Garima Gaur +3
We introduce TechTrack, a new dataset for tracking entities in technical procedures. The dataset, prepared by annotating open domain articles from WikiHow, consists of 1351 procedu…
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs
Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
Knowledge graphs (KGs) have increasingly become the backbone of many critical knowledge-centric applications. Most large-scale KGs used in practice are automatically constructed ba…