Adit Krishnan
Adit Krishnan
Applied Scientist, Amazon
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An adversarial approach to improve long-tail performance in neural collaborative filtering
A Krishnan, A Sharma, A Sankar, H Sundaram
Proceedings of the 27th ACM International Conference on information and …, 2018
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
A Sankar, X Zhang, A Krishnan, J Han
Proceedings of the 13th International Conference on Web Search and Data …, 2020
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation
A Krishnan, M Das, M Bendre, H Yang, H Sundaram
ACM SIGIR 2020, 2020
A modular adversarial approach to social recommendation
A Krishnan, H Cheruvu, C Tao, H Sundaram
Proceedings of the 28th ACM International Conference on Information and …, 2019
Leveraging semantic resources in diversified query expansion
A Krishnan, S Ranu, S Mehta
World Wide Web 21 (4), 1041-1067, 2018
Insights from the long-tail: Learning latent representations of online user behavior in the presence of skew and sparsity
A Krishnan, A Sharma, H Sundaram
Proceedings of the 27th ACM International Conference on Information and …, 2018
Rase: Relationship aware social embedding
A Sankar, A Krishnan, Z He, C Yang
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
Protocf: Prototypical collaborative filtering for few-shot recommendation
A Sankar, J Wang, A Krishnan, H Sundaram
Fifteenth ACM Conference on Recommender Systems, 166-175, 2021
Unsupervised Concept Categorization and Extraction from Scientific Document Titles
A Krishnan, A Sankar, S Zhi, J Han
The 26th ACM International Conference on Information and Knowledge …, 2017
Beyond localized graph neural networks: An attributed motif regularization framework
A Sankar, J Wang, A Krishnan, H Sundaram
2020 IEEE International Conference on Data Mining (ICDM), 472-481, 2020
An induced multi-relational framework for answer selection in community question answer platforms
K Narang, C Yang, A Krishnan, J Wang, H Sundaram, C Sutter
arXiv preprint arXiv:1911.06957, 2019
Select, link and rank: Diversified query expansion and entity ranking using wikipedia
A Krishnan, D Padmanabhan, S Ranu, S Mehta
International conference on web information systems engineering, 157-173, 2016
Discovering Strategic Behaviors for Collaborative Content-Production in Social Networks
Y Xiao, A Krishnan, H Sundaram
The Web Conference 2020, 2020
Improving latent user models in online social media
A Krishnan, A Sharma, H Sundaram
arXiv preprint arXiv:1711.11124, 2017
Improving Marketing Interactions by Mining Sequences
AK Ritwik Sinha, Sanket Mehta, Tapan Bohra
Web Information Systems Engineering – WISE 2015 9418 (Lecture Notes in …, 2015
Self-supervised role learning for graph neural networks
A Sankar, J Wang, A Krishnan, H Sundaram
Knowledge and Information Systems 64 (8), 2091-2121, 2022
Ranking User-Generated Content via Multi-Relational Graph Convolution
K Narang, A Krishnan, J Wang, C Yang, H Sundaram, C Sutter
ACM SIGIR 2021, 2021
Personalized Marketing Based on Sequence Mining
R Sinha, T Bohra, SV Mehta, A Krishnan
US Patent App. 14/548,684, 2016
Multi-task Knowledge Graph Representations via Residual Functions
A Krishnan, M Das, M Bendre, F Wang, H Yang, H Sundaram
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 262-275, 2022
Neural recommender models for sparse and skewed behavioral data
A Krishnan
University of Illinois at Urbana-Champaign, 2021
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