7 citations · 10 across the 3 of their papers we have counts for
3 papers
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types
Chandrahas, Partha Pratim Talukdar
Open Knowledge Graphs (OpenKG) refer to a set of (head noun phrase, relation phrase, tail noun phrase) triples such as (tesla, return to, new york) extracted from a corpus using Op…
Inducing Interpretability in Knowledge Graph Embeddings
Chandrahas, Tathagata Sengupta, Cibi Pragadeesh +1
We study the problem of inducing interpretability in KG embeddings. Specifically, we explore the Universal Schema (Riedel et al., 2013) and propose a method to induce interpretabil…
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs
Srinivas Ravishankar, Chandrahas, Partha Pratim Talukdar
We address the problem of learning vector representations for entities and relations in Knowledge Graphs (KGs) for Knowledge Base Completion (KBC). This problem has received signif…