Performance Analysis of Graph-Based Methods for Exact and Approximate Similarity Search in Metric Spaces. - Larissa Capobianco Shimomura; Marcos R. Vieira; Daniel S. Kaster (SISAP, 2018)

HGraph: A Connected-Partition Approach to Proximity Graphs for Similarity Search. - Larissa Capobianco Shimomura; Daniel S. Kaster (DEXA (1), 2019)

Towards Proximity Graph Auto-configuration: An Approach Based on Meta-learning. - Rafael Seidi Oyamada; Larissa Capobianco Shimomura; Sylvio Barbon Junior; Daniel S. Kaster (ADBIS, 2020)

GGDs: Graph Generating Dependencies. - Larissa Capobianco Shimomura; George Fletcher 001; Nikolay Yakovets (CIKM, 2020)

A survey on graph-based methods for similarity searches in metric spaces. - Larissa Capobianco Shimomura; Rafael Seidi Oyamada; Marcos R. Vieira; Daniel S. Kaster (Inf. Syst., 2021)

Graph Profiling with Graph Generating Dependencies. - Larissa Capobianco Shimomura (PhD@VLDB, 2022)

ProGGD - Data Profiling on Knowledge Graphs using Graph Generating Dependencies. - Larissa Capobianco Shimomura; George H. L. Fletcher; Nikolay Yakovets (ISWC (Posters/Demos/Industry), 2023)

A meta-learning configuration framework for graph-based similarity search indexes. - Rafael Seidi Oyamada; Larissa Capobianco Shimomura; Sylvio Barbon Jr.; Daniel S. Kaster (Inf. Syst., 2023)

Discovering Graph Generating Dependencies for Property Graph Profiling. - Larissa Capobianco Shimomura; Nikolay Yakovets; George Fletcher 001 (CIKM, 2024)

GGDMiner - Discovery of Graph Generating Dependencies for Graph Data Profiling. - Larissa Capobianco Shimomura; Nikolay Yakovets; George Fletcher 001 (CoRR, 2024)

Reasoning on property graphs with graph generating dependencies. - Larissa Capobianco Shimomura; Nikolay Yakovets; George Fletcher 001 (Inf. Sci., 2024)