Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data. - Iftikhar Ahamath Burhanuddin; Payal Bajaj; Sumit Shekhar; Dipayan Mukherjee; Ashish Raj; Aravind Sankar (ICDM Workshops, 2015)

Improved MHP Analysis. - Aravind Sankar; Soham Chakraborty 001; V. Krishna Nandivada (CC, 2016)

Unsupervised Concept Categorization and Extraction from Scientific Document Titles. - Adit Krishnan; Aravind Sankar; Shi Zhi; Jiawei Han 001 (CIKM, 2017)

Predicting novel metabolic pathways through subgraph mining. - Aravind Sankar; Sayan Ranu; Karthik Raman 002 (Bioinform., 2017)

Motif-based Convolutional Neural Network on Graphs. - Aravind Sankar; Xinyang Zhang 002; Kevin Chen-Chuan Chang (CoRR, 2017)

An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering. - Adit Krishnan; Ashish Sharma; Aravind Sankar; Hari Sundaram (CIKM, 2018)

Dynamic Graph Representation Learning via Self-Attention Networks. - Aravind Sankar; Yanhong Wu; Liang Gou; Wei Zhang 189; Hao Yang 007 (CoRR, 2018)

Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. - Aravind Sankar; Xinyang Zhang 002; Kevin Chen-Chuan Chang (ASONAM, 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 (ICDE, 2019)

RASE: Relationship Aware Social Embedding. - Aravind Sankar; Adit Krishnan; Zongjian He; Carl Yang 001 (IJCNN, 2019)

Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework. - Aravind Sankar; Junting Wang 001; Adit Krishnan; Hari Sundaram (ICDM, 2020)

GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation. - Aravind Sankar; Yanhong Wu; Yuhang Wu 002; Wei Zhang 189; Hao Yang 007; Hari Sundaram (SIGIR, 2020)

DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks. - Aravind Sankar; Yanhong Wu; Liang Gou; Wei Zhang 189; Hao Yang 007 (WSDM, 2020)

Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction. - Aravind Sankar; Xinyang Zhang 002; Adit Krishnan; Jiawei Han 001 (WSDM, 2020)

ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. - Aravind Sankar; Junting Wang 001; Adit Krishnan; Hari Sundaram (RecSys, 2021)

Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. - Aravind Sankar; Yozen Liu; Jun Yu; Neil Shah (WWW, 2021)

Audience-Centric Natural Language Generation via Style Infusion. - Samraj Moorjani; Adit Krishnan; Hari Sundaram; Ewa Maslowska; Aravind Sankar (EMNLP (Findings), 2022)

Sparsity-aware neural user behavior modeling in online interaction platforms. - Aravind Sankar (CoRR, 2022)

Self-supervised role learning for graph neural networks. - Aravind Sankar; Junting Wang 001; Adit Krishnan; Hari Sundaram (Knowl. Inf. Syst., 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; et al. (Nucleic Acids Res., 2022)