Madhav Nimishakavi

According to our database, Madhav Nimishakavi authored at least 12 papers between 2016 and 2023.

Collaborative distances:

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

2023

Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks.

Abdalgader Abubaker, Takanori Maehara, Madhav Nimishakavi, Vassilis Plachouras

CoRR, 2023

2020

Graph-based Modeling of Online Communities for Fake News Detection.

Shantanu Chandra, Pushkar Mishra, Helen Yannakoudakis, Madhav Nimishakavi, Marzieh Saeidi, Ekaterina Shutova

CoRR, 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

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

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

A Dual Framework for Low-rank Tensor Completion.

Madhav Nimishakavi, Pratik Kumar Jawanpuria, Bamdev Mishra

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information.

Madhav Nimishakavi, Bamdev Mishra, Manish Gupta, Partha Pratim Talukdar

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation.

Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Event Schema Induction using Tensor Factorization with Back-off.

Madhav Nimishakavi, Partha P. Talukdar

CoRR, 2017

2016

Relation Schema Induction using Tensor Factorization with Side Information.

Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016