Aravind Sankar
Aravind Sankar
Research Scientist, Core Data Science, Meta Research
Verified email at - Homepage
Cited by
Cited by
Dysat: Deep neural representation learning on dynamic graphs via self-attention networks
A Sankar, Y Wu, L Gou, W Zhang, H Yang
Proceedings of the 13th international conference on web search and data …, 2020
Meta-GNN: Metagraph neural network for semi-supervised learning in attributed heterogeneous information networks
A Sankar, X Zhang, KCC Chang
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
Discovering maximal motif cliques in large heterogeneous information networks
J Hu, R Cheng, KCC Chang, A Sankar, Y Fang, BYH Lam
2019 IEEE 35th International Conference on Data Engineering (ICDE), 746-757, 2019
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
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
A Sankar, Y Wu, Y Wu, W Zhang, H Yang, H Sundaram
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Graph neural networks for friend ranking in large-scale social platforms
A Sankar, Y Liu, J Yu, N Shah
Proceedings of the Web Conference 2021, 2535-2546, 2021
Predicting novel metabolic pathways through subgraph mining
A Sankar, S Ranu, K Raman
Bioinformatics 33 (24), 3955-3963, 2017
Improved MHP analysis
A Sankar, S Chakraborty, VK Nandivada
Proceedings of the 25th International Conference on Compiler Construction …, 2016
Protocf: Prototypical collaborative filtering for few-shot recommendation
A Sankar, J Wang, A Krishnan, H Sundaram
Proceedings of the 15th ACM Conference on Recommender Systems, 166-175, 2021
RASE: Relationship Aware Social Embedding
A Sankar, A Krishnan, Z He, C Yang
International Joint Conference on Neural Networks (IJCNN), 2019
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
A Sankar, J Wang, A Krishnan, H Sundaram
International Conference on Data Mining (ICDM), 2020
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
Similarity learning for product recommendation and scoring using multi-channel data
IA Burhanuddin, P Bajaj, S Shekhar, D Mukherjee, A Raj, A Sankar
2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1143-1152, 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
Sparsity-aware neural user behavior modeling in online interaction platforms
A Sankar
arXiv preprint arXiv:2202.13491, 2022
Dynamic graph representation learning via attention networks
A Sankar, Y Wu, L Gou, W Zhang, H Yang
US Patent App. 17/273,275, 2021
Audience-Centric Natural Language Generation via Style Infusion
S Moorjani, A Krishnan, H Sundaram, E Maslowska, A Sankar
arXiv preprint arXiv:2301.10283, 2023
Group item recommendations for ephemeral groups based on mutual information maximization
A Sankar, Y Wu, Y Wu, W Zhang, H Yang
US Patent App. 17/070,772, 2021
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