Aravind Sankar

According to our database, Aravind Sankar authored at least 20 papers between 2015 and 2022.

Collaborative distances:

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

2022

The European Genome-phenome Archive in 2021.

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

Nucleic Acids Res., 2022

Self-supervised role learning for graph neural networks.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Knowl. Inf. Syst., 2022

Sparsity-aware neural user behavior modeling in online interaction platforms.

Aravind Sankar

CoRR, 2022

Audience-Centric Natural Language Generation via Style Infusion.

Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Graph Neural Networks for Friend Ranking in Large-scale Social Platforms.

Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah

Proceedings of the WWW '21: The Web Conference 2021, 2021

ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction.

Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks.

Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation.

Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework.

Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

RASE: Relationship Aware Social Embedding.

Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang

Proceedings of the International Joint Conference on Neural Networks, 2019

Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks.

Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks.

Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Dynamic Graph Representation Learning via Self-Attention Networks.

Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang

CoRR, 2018

An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering.

Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram

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

2017

Motif-based Convolutional Neural Network on Graphs.

Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang

CoRR, 2017

Predicting novel metabolic pathways through subgraph mining.

Aravind Sankar, Sayan Ranu, Karthik Raman

Bioinform., 2017

Unsupervised Concept Categorization and Extraction from Scientific Document Titles.

Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Improved MHP Analysis.

Aravind Sankar, Soham Chakraborty, V. Krishna Nandivada

Proceedings of the 25th International Conference on Compiler Construction, 2016

2015

Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data.

Iftikhar Ahamath Burhanuddin, Payal Bajaj, Sumit Shekhar, Dipayan Mukherjee, Ashish Raj, Aravind Sankar

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015