Follow
Naganand Yadati
Title
Cited by
Cited by
Year
Hypergcn: A new method for training graph convolutional networks on hypergraphs
N Yadati, M Nimishakavi, P Yadav, V Nitin, A Louis, P Talukdar
Advances in Neural Information Processing Systems, 1511-1522, 2019
4122019
Kvqa: Knowledge-aware visual question answering
S Shah, A Mishra, N Yadati, PP Talukdar
Proceedings of the AAAI conference on artificial intelligence 33 (01), 8876-8884, 2019
1732019
Nhp: Neural hypergraph link prediction
N Yadati, V Nitin, M Nimishakavi, P Yadav, A Louis, P Talukdar
Proceedings of the 29th ACM international conference on information …, 2020
76*2020
Mt-cgcnn: Integrating crystal graph convolutional neural network with multitask learning for material property prediction
S Sanyal, J Balachandran, N Yadati, A Kumar, P Rajagopalan, S Sanyal, ...
arXiv preprint arXiv:1811.05660, 2018
482018
Neural message passing for multi-relational ordered and recursive hypergraphs
N Yadati
Advances in Neural Information Processing Systems 33, 3275-3289, 2020
322020
Graph-based deep learning in natural language processing
S Vashishth, N Yadati, P Talukdar
Proceedings of the 7th ACM IKDD CoDS and 25th COMAD, 371-372, 2020
252020
Knowledge base question answering through recursive hypergraphs
N Yadati, RS Dayanidhi, S Vaishnavi, KM Indira, G Srinidhi
Proceedings of the 16th conference of the European chapter of the …, 2021
142021
Lovasz convolutional networks
P Yadav, M Nimishakavi, N Yadati, S Vashishth, A Rajkumar, P Talukdar
The 22nd international conference on artificial intelligence and statistics …, 2019
142019
Biologically Plausible Neural Networks via Evolutionary Dynamics and Dopaminergic Plasticity
S Gorantla, A Louis, CH Papadimitriou, S Vempala, N Yadati
42019
Graph neural networks for soft semi-supervised learning on hypergraphs
N Yadati, T Gao, S Asoodeh, P Talukdar, A Louis
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 447-458, 2021
32021
HyperGCN: Hypergraph convolutional networks for semi-supervised learning and combinatorial optimisation
N Yadati, M Nimishakavi, P Yadav, V Nitin, A Louis, P Talukdar
arXiv preprint arXiv:1809.02589, 2019
32019
A convex formulation for graph convolutional training: Two layer case
N Yadati
2022 IEEE International Conference on Data Mining (ICDM), 1281-1286, 2022
12022
GAINER: Graph Machine Learning with Node-specific Radius for Classification of Short Texts and Documents
N Yadati
Proceedings of the 18th Conference of the European Chapter of the …, 2024
2024
HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched with Attributes and Layers
N Yadati, T Kumar, D Maurya, B Ravindran, P Talukdar
The Second Learning on Graphs Conference, 2023
2023
Deep Learning over Hypergraphs
N Yadati
2021
Hypergcn: A new method for training graph convolutional networks on hypergraphs
N Yadati, M Nimishakavi, P Yadav, V Nitin, A Louis, P Talukdar
Advances in Neural Information Processing Systems, 1511-1522, 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–16