Sotabase

Career

· Research Scientist, Core Data Science, Meta2022–
· PhD in Computer Science, University of Illinois at Urbana-Champaign2016–
· Bachelors and Masters in Computer Science, Indian Institute of Technology, Madras2011–

Publications (24)

DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks
Web Search and Data Mining · 2020
653
cited
Dynamic Graph Representation Learning via Self-Attention Networks
arXiv.org · 2018
143
cited
GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2020
107
cited
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms
The Web Conference · 2021
103
cited
Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction
Web Search and Data Mining · 2020
97
cited
The European Genome-phenome Archive in 2021
Nucleic Acids Res. · 2021
95
cited
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering
International Conference on Information and Knowledge Management · 2018
83
cited
Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks
IEEE International Conference on Data Engineering · 2019
63
cited
Meta-GNN: Metagraph Neural Network for Semi-supervised learning in Attributed Heterogeneous Information Networks
International Conference on Advances in Social Networks Analysis and Mining · 2019
62
cited
Motif-based Convolutional Neural Network on Graphs
arXiv.org · 2017
44
cited
ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation
ACM Conference on Recommender Systems · 2021
36
cited
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework
Industrial Conference on Data Mining · 2020
24
cited
Predicting Novel Metabolic Pathways through Subgraph Mining
bioRxiv · 2017
17
cited
Unsupervised Concept Categorization and Extraction from Scientific Document Titles
International Conference on Information and Knowledge Management · 2017
11
cited
Improved MHP Analysis
International Conference on Compiler Construction · 2016
8
cited
RASE: Relationship Aware Social Embedding
IEEE International Joint Conference on Neural Network · 2019
7
cited
Audience-Centric Natural Language Generation via Style Infusion
Conference on Empirical Methods in Natural Language Processing · 2023
5
cited
Self-supervised role learning for graph neural networks
Knowledge and Information Systems · 2022
5
cited
Similarity Learning for Product Recommendation and Scoring Using Multi-channel Data
2015 IEEE International Conference on Data Mining Workshop (ICDMW) · 2015
5
cited
Unsupervised Extraction of Representative Concepts from Scientific Literature
2017
3
cited
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Aravind Sankar | Researcher Profile | Sotabase | Sotabase