Aravind Sankar

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 24

Top Topics

Subgraph Mining

Regularization Framework

Natural Language Generation

Top Venues

Publications

Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar
Audience-Centric Natural Language Generation via Style Infusion. CoRR (2023)
Aravind Sankar
Sparsity-aware neural user behavior modeling in online interaction platforms. CoRR (2022)
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) (2022)
Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar
Audience-Centric Natural Language Generation via Style Infusion. EMNLP (Findings) (2022)
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
Self-supervised role learning for graph neural networks. Knowl. Inf. Syst. 64 (8) (2022)
Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. WWW (2021)
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. RecSys (2021)
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. CoRR (2020)
Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. WSDM (2020)
Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. CoRR (2020)
Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. CoRR (2020)
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. ICDM (2020)
Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. SIGIR (2020)
Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. WSDM (2020)
Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. ASONAM (2019)
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)
Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang
RASE: Relationship Aware Social Embedding. IJCNN (2019)
Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
Dynamic Graph Representation Learning via Self-Attention Networks. CoRR (2018)
Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. CIKM (2018)
Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CoRR (2017)
Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han
Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CIKM (2017)
Aravind Sankar, Sayan Ranu, Karthik Raman
Predicting novel metabolic pathways through subgraph mining. Bioinform. 33 (24) (2017)
Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
Motif-based Convolutional Neural Network on Graphs. CoRR (2017)
Aravind Sankar, Soham Chakraborty, V. Krishna Nandivada
Improved MHP Analysis. CC (2016)
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)