GraLNA 2024 Successfully Adjourned
The first cohort of GraLNA 2024 successfully adjourned today! Students worked hard on seven different research projects (see below) and proudly presented their research work today. This is a pleasing and productive cohort and we look forward to the program next summer.
Differentially Private Counting Queries on Approximate Shortest Paths
Querying and Visualizing Protests through Neo4j’s Temporal Knowledge Graphs
Stochastic Variance-Reduced Iterative Hard Thresholding in Graph Sparsity Optimization
Financial Statement Fraud Detection Using Machine Learning and Large Language Models
The More is not the Merrier: Investigating the Effect of Client Size on Federated Learning
Edge-Boosted Graph Neural Networks for Functional Brain Connectivity Analysis
Visual Episodic Memory in Cognitive Agents using Knowledge Graphs
