Sotabase

Career

· Applied Research Scientist, Georgian Venture Capital2024–
· Research Intern, Google Research2024–
· Researcher in Data-Driven Science and Language Model Agents, University of Washington2024–

Publications (15)

Correlated Neural Activity and Encoding of Behavior across Brains of Socially Interacting Animals
Cell · 2019
283
cited
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching
AAAI Conference on Artificial Intelligence · 2018
124
cited
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity
International Joint Conference on Artificial Intelligence · 2019
82
cited
A Package for Learning on Tabular and Text Data with Transformers
MAIWORKSHOP · 2021
58
cited
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study
International Conference on Human Factors in Computing Systems · 2023
42
cited
BLADE: Benchmarking Language Model Agents for Data-Driven Science
Conference on Empirical Methods in Natural Language Processing · 2024
41
cited
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
International Conference on Human Factors in Computing Systems · 2023
38
cited
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction
arXiv.org · 2020
24
cited
Fast Detection of Maximum Common Subgraph via Deep Q-Learning
arXiv.org · 2020
17
cited
Understanding and Supporting Debugging Workflows in Multiverse Analysis
International Conference on Human Factors in Computing Systems · 2022
15
cited
Neural Maximum Common Subgraph Detection with Guided Subgraph Extraction
2019
11
cited
Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity
arXiv.org · 2019
10
cited
LSM-2: Learning from Incomplete Wearable Sensor Data
arXiv.org · 2025
7
cited
The Anatomy of a Personal Health Agent
arXiv.org · 2025
5
cited
RADAR: Benchmarking Language Models on Imperfect Tabular Data
arXiv.org · 2025
2
cited
Sotabase
Ken Gu | Researcher Profile | Sotabase | Sotabase