Nurendra Choudhary

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 34

Top Topics

Message Passing

Logical Reasoning

Top Venues

WWW (Companion Volume)

Publications

Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. CoRR (2024)
Ajay Jaiswal, Nurendra Choudhary, Ravinarayana Adkathimar, Muthu P. Alagappan, Gaurush Hiranandani, Ying Ding, Zhangyang Wang, Edward W. Huang, Karthik Subbian
All Against Some: Efficient Integration of Large Language Models for Message Passing in Graph Neural Networks. CoRR (2024)
Nurendra Choudhary, Edward W. Huang, Karthik Subbian, Chandan K. Reddy
An Interpretable Ensemble of Graph and Language Models for Improving Search Relevance in E-Commerce. WWW (Companion Volume) (2024)
Sindhu Tipirneni, Ravinarayana Adkathimar, Nurendra Choudhary, Gaurush Hiranandani, Rana Ali Amjad, Vassilis N. Ioannidis, Changhe Yuan, Chandan K. Reddy
Context-Aware Clustering using Large Language Models. CoRR (2024)
Nurendra Choudhary, Chandan K. Reddy
Complex Logical Reasoning over Knowledge Graphs using Large Language Models. CoRR (2023)
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. IJCAI (2023)
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. CoRR (2023)
Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. NeurIPS (2023)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy
Hyperbolic Neural Networks: Theory, Architectures and Applications. KDD (2022)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
ANTHEM: Attentive Hyperbolic Entity Model for Product Search. WSDM (2022)
Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. CoRR (2022)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
Text Enriched Sparse Hyperbolic Graph Convolutional Networks. CoRR (2022)
Nurendra Choudhary, Chandan K. Reddy
Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations. CoRR (2022)
Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. KDD (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
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Anoushka Vyas, Nurendra Choudhary, Mehrdad Khatir, Chandan K. Reddy
GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries. WWW (Companion Volume) (2022)
Nurendra Choudhary, Charu C. Aggarwal, Karthik Subbian, Chandan K. Reddy
Self-supervised Short-text Modeling through Auxiliary Context Generation. ACM Trans. Intell. Syst. Technol. 13 (3) (2022)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. WWW (2021)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. CoRR (2021)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. NeurIPS (2021)
Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR (2020)
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages. CICLing (2) (2018)
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages. CICLing (2) (2018)
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Neural Network Architecture for Credibility Assessment of Textual Claims (Best Paper Award, First Place). CICLing (2) (2018)
Rajat Singh, Nurendra Choudhary, Manish Shrivastava
Automatic Normalization of Word Variations in Code-Mixed Social Media Text. CoRR (2018)
Nurendra Choudhary, Rajat Singh, Manish Shrivastava
Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages. CoRR (2018)
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Emotions Are Universal: Learning Sentiment Based Representations of Resource-Poor Languages Using Siamese Networks. CICLing (2) (2018)
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Emotions are Universal: Learning Sentiment Based Representations of Resource-Poor Languages using Siamese Networks. CoRR (2018)
Rajat Singh, Nurendra Choudhary, Ishita Bindlish, Manish Shrivastava
Neural Network Architecture for Credibility Assessment of Textual Claims. CoRR (2018)
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Contrastive Learning of Emoji-based Representations for Resource-Poor Languages. CoRR (2018)
Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao, Manish Shrivastava
Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction. COLING (2018)
Rajat Singh, Nurendra Choudhary, Manish Shrivastava
Automatic Normalization of Word Variations in Code-Mixed Social Media Text. CICLing (1) (2018)
Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava
Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich Languages. CoRR (2018)
Sandeep Sricharan Mukku, Nurendra Choudhary, Radhika Mamidi
Enhanced Sentiment Classification of Telugu Text using ML Techniques. SAAIP@IJCAI (2016)
Nurendra Choudhary, Venkatesh Choppella, Raghu Reddy, Thirumal Ravula
Any Time Virtual Labs: On Portable Media and as Debian Packages. T4E (2014)
Jatin Agarwal, Utkarsh Rastogiy, Prateek Pandey, Nurendra Choudhary, Venkatesh Choppella, Raghu Reddy
Large Scale Web Page Optimization of Virtual Labs. T4E (2014)