Aravind Sankar

25 papers A* 4A 5B 3Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Audience-Centric Natural Language Generation via Style Infusion. CoRR Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar
2022	—	`conf`	Audience-Centric Natural Language Generation via Style Infusion. EMNLP (Findings) Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar
2022	J	`jnl`	Self-supervised role learning for graph neural networks. Knowl. Inf. Syst. Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
2022	J	`jnl`	Sparsity-aware neural user behavior modeling in online interaction platforms. CoRR Aravind Sankar
2022	J	`jnl`	The European Genome-phenome Archive in 2021. Nucleic Acids Res. 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
2021	A*	`conf`	Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. WWW Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah
2021	A	`conf`	ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. RecSys Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
2020	A*	`conf`	Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. ICDM Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
2020	J	`jnl`	Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. CoRR Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram
2020	A	`conf`	DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. WSDM Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
2020	A*	`conf`	GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. SIGIR Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
2020	J	`jnl`	GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. CoRR Aravind Sankar, Yanhong Wu, Yuhang Wu, Wei Zhang, Hao Yang, Hari Sundaram
2020	A	`conf`	Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. WSDM Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han
2020	J	`jnl`	Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. CoRR Aravind Sankar, Xinyang Zhang, Adit Krishnan, Jiawei Han
2019	A*	`conf`	Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. ICDE Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam
2019	B	`conf`	Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. ASONAM Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
2019	B	`conf`	RASE: Relationship Aware Social Embedding. IJCNN Aravind Sankar, Adit Krishnan, Zongjian He, Carl Yang
2018	A	`conf`	An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. CIKM Adit Krishnan, Ashish Sharma, Aravind Sankar, Hari Sundaram
2018	J	`jnl`	Dynamic Graph Representation Learning via Self-Attention Networks. CoRR Aravind Sankar, Yanhong Wu, Liang Gou, Wei Zhang, Hao Yang
2017	J	`jnl`	Motif-based Convolutional Neural Network on Graphs. CoRR Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang
2017	J	`jnl`	Predicting novel metabolic pathways through subgraph mining. Bioinform. Aravind Sankar, Sayan Ranu, Karthik Raman
2017	A	`conf`	Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CIKM Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han
2017	J	`jnl`	Unsupervised Concept Categorization and Extraction from Scientific Document Titles. CoRR Adit Krishnan, Aravind Sankar, Shi Zhi, Jiawei Han
2016	B	`conf`	Improved MHP Analysis. CC Aravind Sankar, Soham Chakraborty, V. Krishna Nandivada
2015	—	`conf`	Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data. ICDM Workshops Iftikhar Ahamath Burhanuddin, Payal Bajaj, Sumit Shekhar, Dipayan Mukherjee, Ashish Raj, Aravind Sankar