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ORCIDNurendra Choudhary
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2020 – today
- 2024
[c19]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: 206-215- [i17]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 abs/2403.00923 (2024) - [i16]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 abs/2405.00988 (2024) - [i15]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 abs/2407.14996 (2024) - [i14]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:
Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data. CoRR abs/2410.11235 (2024) - 2023
- [b1]Nurendra Choudhary:
Multimodal Representation Learning for Textual Reasoning over Knowledge Graphs. Virginia Tech, Blacksburg, VA, USA, 2023 - [c18]Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy:
A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. IJCAI 2023: 3875-3883 - [c17]Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy:
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. NeurIPS 2023 - [i13]Nurendra Choudhary, Chandan K. Reddy:
Complex Logical Reasoning over Knowledge Graphs using Large Language Models. CoRR abs/2305.01157 (2023) - [i12]Nurendra Choudhary, Nikhil Rao, Chandan K. Reddy:
Hyperbolic Graph Neural Networks at Scale: A Meta Learning Approach. CoRR abs/2310.18918 (2023) - 2022
- [j1]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): 51:1-51:21 (2022) - [c16]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy:
Graph-based Multilingual Language Model: Leveraging Product Relations for Search Relevance. KDD 2022: 2789-2799 - [c15]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy:
Hyperbolic Neural Networks: Theory, Architectures and Applications. KDD 2022: 4778-4779 - [c14]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
ANTHEM: Attentive Hyperbolic Entity Model for Product Search. WSDM 2022: 161-171 - [c13]Anoushka Vyas, Nurendra Choudhary, Mehrdad Khatir, Chandan K. Reddy:
GraphZoo: A Development Toolkit for Graph Neural Networks with Hyperbolic Geometries. WWW (Companion Volume) 2022: 184-188 - [c12]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: 391-399 - [i11]Nurendra Choudhary, Chandan K. Reddy:
Towards Scalable Hyperbolic Neural Networks using Taylor Series Approximations. CoRR abs/2206.03610 (2022) - [i10]Mehrdad Khatir, Nurendra Choudhary, Sutanay Choudhury, Khushbu Agarwal, Chandan K. Reddy:
Pseudo-Poincaré: A Unification Framework for Euclidean and Hyperbolic Graph Neural Networks. CoRR abs/2206.04285 (2022) - [i9]Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Chandan K. Reddy:
Text Enriched Sparse Hyperbolic Graph Convolutional Networks. CoRR abs/2207.02368 (2022) - 2021
- [c11]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. NeurIPS 2021: 23440-23451 - [c10]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. WWW 2021: 1373-1384 - [i8]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Probabilistic Entity Representation Model for Reasoning over Knowledge Graphs. CoRR abs/2110.13522 (2021) - 2020
- [i7]Nurendra Choudhary, Nikhil Rao, Sumeet Katariya, Karthik Subbian, Chandan K. Reddy:
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs. CoRR abs/2012.13023 (2020)
2010 – 2019
- 2018
- [c9]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages. CICLing (2) 2018: 104-114 - [c8]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: 115-128 - [c7]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages. CICLing (2) 2018: 129-141 - [c6]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: 301-313 - [c5]Rajat Singh, Nurendra Choudhary, Manish Shrivastava:
Automatic Normalization of Word Variations in Code-Mixed Social Media Text. CICLing (1) 2018: 371-381 - [c4]Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao, Manish Shrivastava:
Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction. COLING 2018: 1570-1577 - [i6]Rajat Singh, Nurendra Choudhary, Ishita Bindlish, Manish Shrivastava:
Neural Network Architecture for Credibility Assessment of Textual Claims. CoRR abs/1803.10547 (2018) - [i5]Rajat Singh, Nurendra Choudhary, Manish Shrivastava:
Automatic Normalization of Word Variations in Code-Mixed Social Media Text. CoRR abs/1804.00804 (2018) - [i4]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Emotions are Universal: Learning Sentiment Based Representations of Resource-Poor Languages using Siamese Networks. CoRR abs/1804.00805 (2018) - [i3]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Sentiment Analysis of Code-Mixed Languages leveraging Resource Rich Languages. CoRR abs/1804.00806 (2018) - [i2]Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava:
Contrastive Learning of Emoji-based Representations for Resource-Poor Languages. CoRR abs/1804.01855 (2018) - [i1]Nurendra Choudhary, Rajat Singh, Manish Shrivastava:
Cross-Lingual Task-Specific Representation Learning for Text Classification in Resource Poor Languages. CoRR abs/1806.03590 (2018) - 2016
- [c3]Sandeep Sricharan Mukku, Nurendra Choudhary, Radhika Mamidi:
Enhanced Sentiment Classification of Telugu Text using ML Techniques. SAAIP@IJCAI 2016: 29-34 - 2014
- [c2]Nurendra Choudhary, Venkatesh Choppella, Raghu Reddy, Thirumal Ravula:
Any Time Virtual Labs: On Portable Media and as Debian Packages. T4E 2014: 28-31 - [c1]Jatin Agarwal, Utkarsh Rastogiy, Prateek Pandey, Nurendra Choudhary, Venkatesh Choppella, Raghu Reddy:
Large Scale Web Page Optimization of Virtual Labs. T4E 2014: 146-147
Coauthor Index
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last updated on 2024-11-28 21:24 CET by the dblp team
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