1 code implementation • 24 Jun 2021 • 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 OpenIE tools.
1 code implementation • 18 Nov 2019 • Ekagra Ranjan, Soumya Sanyal, Partha Pratim Talukdar
Graph Neural Networks (GNN) have been shown to work effectively for modeling graph structured data to solve tasks such as node classification, link prediction and graph classification.
Ranked #3 on Graph Classification on FRANKENSTEIN
no code implementations • AAAI Conference on Artificial Intelligence 2019 • Sanket Shah, Hyderabad Anand Mishra, Naganand Yadati, Partha Pratim Talukdar
In spite of this progress, the important problem of answering questions requiring world knowledge about named entities (e. g., Barack Obama, White House, United Nations) in the image has not been addressed in prior research.
no code implementations • 27 Sep 2018 • Vivek Gupta, Ankit Kumar Saw, Partha Pratim Talukdar, Praneeth Netrapalli
One reason for this degradation is due to the fact that a longer document is likely to contain words from many different themes (or topics), and hence creating a single vector while ignoring all the thematic structure is unlikely to yield an effective representation of the document.
no code implementations • ICON 2020 • Chandrahas, Tathagata Sengupta, Cibi Pragadeesh, Partha Pratim Talukdar
We study the problem of inducing interpretability in KG embeddings.
1 code implementation • 15 Nov 2017 • 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).
no code implementations • 10 Oct 2013 • Partha Pratim Talukdar, William Cohen
Graph-based Semi-supervised learning (SSL) algorithms have been successfully used in a large number of applications.