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ORCIDAravind Sankar
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2020 – today
- 2023
[i8]Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar:
Audience-Centric Natural Language Generation via Style Infusion. CoRR abs/2301.10283 (2023)- 2022
- [j3]Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
Self-supervised role learning for graph neural networks. Knowl. Inf. Syst. 64(8): 2091-2121 (2022) - [j2]Mallory Ann Freeberg
, Lauren A. Fromont, Teresa D'altri, Anna Foix Romero, Jorge Izquierdo Ciges, Aina Jene, Giselle Kerry, Mauricio Moldes, Roberto Ariosa, Silvia Bahena, Daniel Barrowdale, Marcos Casado Barbero, Dietmar Fernández-Orth, Carles Garcia-Linares, Emilio Garcia-Rios, Frédéric Haziza, Bela Juhasz, Oscar Martinez Llobet, Gemma Milla, Anand Mohan, Manuel Rueda, Aravind Sankar, Dona Shaju, Ashutosh Shimpi, Babita Singh, Coline Thomas, Sabela de la Torre, Umuthan Uyan, Claudia Vasallo, Paul Flicek, Roderic Guigó, Arcadi Navarro, Helen E. Parkinson, Thomas M. Keane, Jordi Rambla:
The European Genome-phenome Archive in 2021. Nucleic Acids Res. 50(D1): 980-987 (2022) - [c14]Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar:
Audience-Centric Natural Language Generation via Style Infusion. EMNLP (Findings) 2022: 1919-1932 - [i7]Aravind Sankar:
Sparsity-aware neural user behavior modeling in online interaction platforms. CoRR abs/2202.13491 (2022) - 2021
- [c13]Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. RecSys 2021: 166-175 - [c12]Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah:
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. WWW 2021: 2535-2546 - 2020
- [c11]Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. ICDM 2020: 472-481 - [c10]Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram:
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. SIGIR 2020: 1279-1288 - [c9]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. WSDM 2020: 510-518 - [c8]Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang:
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. WSDM 2020: 519-527 - [i6]Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han:
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. CoRR abs/2001.00132 (2020) - [i5]Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram:
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. CoRR abs/2006.03736 (2020) - [i4]Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram:
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. CoRR abs/2009.05197 (2020)
2010 – 2019
- 2019
- [c7]Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang:
Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. ASONAM 2019: 137-144 - [c6]Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam:
Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. ICDE 2019: 746-757 - [c5]Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang:
RASE: Relationship Aware Social Embedding. IJCNN 2019: 1-8 - 2018
- [c4]Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram:
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. CIKM 2018: 1491-1494 - [i3]Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang:
Dynamic Graph Representation Learning via Self-Attention Networks. CoRR abs/1812.09430 (2018) - 2017
- [j1]Aravind Sankar, Sayan Ranu, Karthik Raman:
Predicting novel metabolic pathways through subgraph mining. Bioinform. 33(24): 3955-3963 (2017) - [c3]Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CIKM 2017: 1339-1348 - [i2]Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han:
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CoRR abs/1710.02271 (2017) - [i1]Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang:
Motif-based Convolutional Neural Network on Graphs. CoRR abs/1711.05697 (2017) - 2016
- [c2]Aravind Sankar, Soham Chakraborty, V. Krishna Nandivada:
Improved MHP Analysis. CC 2016: 207-217 - 2015
- [c1]Iftikhar Ahamath Burhanuddin, Payal Bajaj, Sumit Shekhar, Dipayan Mukherjee, Ashish Raj, Aravind Sankar:
Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data. ICDM Workshops 2015: 1143-1152
Coauthor Index
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