Nurendra Choudhary

According to our database, Nurendra Choudhary authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data.

Jiacheng Lin, Kun Qian, Haoyu Han, Nurendra Choudhary, Tianxin Wei, Zhongruo Wang, Sahika Genc, Edward W. Huang, Sheng Wang, Karthik Subbian, Danai Koutra, Jimeng Sun

CoRR, 2024

All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks.

Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian

CoRR, 2024

Context-Aware Clustering using Large Language Models.

Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy

CoRR, 2024

An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce.

Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

2023

Multimodal Representation Learning for Textual Reasoning over Knowledge Graphs.

Nurendra Choudhary

PhD thesis, 2023

Complex Logical Reasoning over Knowledge Graphs using Large Language Models.

Nurendra Choudhary, Chandan K. Reddy

CoRR, 2023

Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach.

Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks.

Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Self-supervised Short-text Modeling through Auxiliary Context Generation.

Nurendra Choudhary, Charu C. Aggarwal, Karthik Subbian, Chandan K. Reddy

ACM Trans. Intell. Syst. Technol., 2022

Text Enriched Sparse Hyperbolic Graph Convolutional Networks.

Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy

CoRR, 2022

Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks.

Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy

CoRR, 2022

Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations.

Nurendra Choudhary, Chandan K. Reddy

CoRR, 2022

GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries.

Anoushka Vyas, Nurendra Choudhary, Mehrdad Khatir, Chandan K. Reddy

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

ANTHEM: Attentive Hyperbolic Entity Model for Product Search.

Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Hyperbolic Neural Networks: Theory, Architectures and Applications.

Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance.

Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs.

Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

Proceedings of the WWW '21: The Web Conference 2021, 2021

Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs.

Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2018

Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages.

Nurendra Choudhary, Rajat Singh, Manish Shrivastava

CoRR, 2018

Neural Network Architecture for Credibility Assessment of Textual Claims.

Rajat Singh, Nurendra Choudhary, Ishita Bindlish, Manish Shrivastava

CoRR, 2018

Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction.

Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao, Manish Shrivastava

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Automatic Normalization of Word Variations in Code-Mixed Social Media Text.

Rajat Singh, Nurendra Choudhary, Manish Shrivastava

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Neural Network Architecture for Credibility Assessment of Textual Claims (Best Paper Award, First Place).

Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages.

Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Emotions Are Universal: Learning Sentiment Based Representations of Resource-Poor Languages Using Siamese Networks.

Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages.

Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2018

2016

Enhanced Sentiment Classification of Telugu Text using ML Techniques.

Sandeep Sricharan Mukku, Nurendra Choudhary, Radhika Mamidi

Proceedings of the 4th Workshop on Sentiment Analysis where AI meets Psychology (SAAIP 2016) co-located with 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), 2016

2014

Any Time Virtual Labs: On Portable Media and as Debian Packages.

Nurendra Choudhary, Venkatesh Choppella, Raghu Reddy, Thirumal Ravula

Proceedings of the Sixth IEEE International Conference on Technology for Education, 2014

Large Scale Web Page Optimization of Virtual Labs.

Jatin Agarwal, Utkarsh Rastogiy, Prateek Pandey, Nurendra Choudhary, Venkatesh Choppella, Raghu Reddy

Proceedings of the Sixth IEEE International Conference on Technology for Education, 2014