Naganand Yadati

According to our database, Naganand Yadati authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

2024

GAINER: Graph Machine Learning with Node-specific Radius for Classification of Short Texts and Documents.

Naganand Yadati

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers.

Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha P. Talukdar

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

2022

A Convex Formulation for Graph Convolutional Training: Two Layer Case.

Naganand Yadati

Proceedings of the IEEE International Conference on Data Mining, 2022

2021

Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs.

Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Knowledge Base Question Answering through Recursive Hypergraphs.

Naganand Yadati, Dayanidhi R. S, Vaishnavi S., Indira K. M, Srinidhi G

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs.

Naganand Yadati

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NHP: Neural Hypergraph Link Prediction.

Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs.

Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha P. Talukdar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Graph-based Deep Learning in Natural Language Processing.

Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Lovasz Convolutional Networks.

Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar, Partha Pratim Talukdar

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

KVQA: Knowledge-Aware Visual Question Answering.

Sanket Shah, Anand Mishra, Naganand Yadati, Partha Pratim Talukdar

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction.

Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha P. Talukdar

CoRR, 2018

HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification.

Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha Pratim Talukdar

CoRR, 2018

Lovasz Convolutional Networks.

Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Arun Rajkumar, Partha Pratim Talukdar

CoRR, 2018