Sotabase

Career

· Assistant Professor, Emory University2020–
· Research Intern, Pinterest2019–2019
· Research Intern, Facebook2018–2018
· Research Intern, DiDi2017–2017
· Research Engineer, Snapchat, Inc.2016–2017
· Software Engineer Intern, Google2015–2015
· College Intern, Alibaba.com2014–2014
· PhD Candidate, University of Illinois at Urbana-Champaign2014–2020
· at University of Illinois, Urbana-Champaign2014–2020

Publications (134)

Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation
Knowledge Discovery and Data Mining · 2017
314
cited
Heterogeneous Network Representation Learning: A Unified Framework With Survey and Benchmark
IEEE Transactions on Knowledge and Data Engineering · 2020
262
cited
Mathematical foundations of the GraphBLAS
IEEE Conference on High Performance Extreme Computing · 2016
242
cited
Subgraph Federated Learning with Missing Neighbor Generation
Neural Information Processing Systems · 2021
241
cited
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
ACM Computing Surveys · 2023
228
cited
Federated Graph Classification over Non-IID Graphs
Neural Information Processing Systems · 2021
223
cited
Brain Network Transformer
Neural Information Processing Systems · 2022
179
cited
A Survey on Graph Structure Learning: Progress and Opportunities
2021
138
cited
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization
Neural Information Processing Systems · 2020
132
cited
Gunrock
ACM Transactions on Parallel Computing · 2017
123
cited
FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation
International Conference on Medical Imaging with Deep Learning · 2022
122
cited
Design Principles for Sparse Matrix Multiplication on the GPU
European Conference on Parallel Processing · 2018
121
cited
GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU
ACM Transactions on Mathematical Software · 2019
119
cited
Conditional Structure Generation through Graph Variational Generative Adversarial Nets
Neural Information Processing Systems · 2019
107
cited
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Web Search and Data Mining · 2023
102
cited
Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022
102
cited
On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs
International Conference on Information and Knowledge Management · 2021
101
cited
Design of the GraphBLAS API for C
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 2017
92
cited
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application
Knowledge Discovery and Data Mining · 2018
92
cited
Understanding Structural Vulnerability in Graph Convolutional Networks
International Joint Conference on Artificial Intelligence · 2021
72
cited
Sotabase