Lovasz Convolutional Networks. - Prateek Yadav; Madhav Nimishakavi; Naganand Yadati; Arun Rajkumar; Partha Pratim Talukdar (CoRR, 2018)

HyperGCN: Hypergraph Convolutional Networks for Semi-Supervised Classification. - Naganand Yadati; Madhav Nimishakavi; Prateek Yadav; Anand Louis; Partha Pratim Talukdar (CoRR, 2018)

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction. - Soumya Sanyal 001; Janakiraman Balachandran; Naganand Yadati; Abhishek Kumar; Padmini Rajagopalan; Suchismita Sanyal; Partha P. Talukdar (CoRR, 2018)

KVQA: Knowledge-Aware Visual Question Answering. - Sanket Shah; Anand Mishra 001; Naganand Yadati; Partha Pratim Talukdar (AAAI, 2019)

Lovasz Convolutional Networks. - Prateek Yadav; Madhav Nimishakavi; Naganand Yadati; Shikhar Vashishth; Arun Rajkumar; Partha Pratim Talukdar (AISTATS, 2019)

Graph-based Deep Learning in Natural Language Processing. - Shikhar Vashishth; Naganand Yadati; Partha P. Talukdar (EMNLP/IJCNLP (2), 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 (NeurIPS, 2019)

NHP: Neural Hypergraph Link Prediction. - Naganand Yadati; Vikram Nitin; Madhav Nimishakavi; Prateek Yadav; Anand Louis; Partha P. Talukdar (CIKM, 2020)

Neural Message Passing for Multi-Relational Ordered and Recursive Hypergraphs. - Naganand Yadati (NeurIPS, 2020)

Knowledge Base Question Answering through Recursive Hypergraphs. - Naganand Yadati; Dayanidhi R. S; Vaishnavi S.; Indira K. M; Srinidhi G (EACL, 2021)

Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. - Naganand Yadati; Tingran Gao; Shahab Asoodeh; Partha P. Talukdar; Anand Louis (PAKDD (1), 2021)

A Convex Formulation for Graph Convolutional Training: Two Layer Case. - Naganand Yadati (ICDM, 2022)

HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers. - Naganand Yadati; Tarun Kumar; Deepak Maurya; Balaraman Ravindran; Partha P. Talukdar (LoG, 2023)

GAINER: Graph Machine Learning with Node-specific Radius for Classification of Short Texts and Documents. - Naganand Yadati (EACL (1), 2024)

Oversquashing in Hypergraph Neural Networks. - Naganand Yadati (LoG, 2024)

LocalFormer: Mitigating Over-Globalising in Transformers on Graphs with Localised Training. - Naganand Yadati (Trans. Mach. Learn. Res., 2025)