Kara Schatz

Orcid: 0000-0003-2310-5131

According to our database1, Kara Schatz authored at least 15 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
GAME+: lossless knowledge-graph compression for improving the efficiency and effectiveness of rule mining.
Int. J. Data Sci. Anal., June, 2026

Retrieving unusual temporal trends effectively and efficiently with trend surfing.
Int. J. Data Sci. Anal., June, 2026

2025
Towards Improving the Efficiency of Drug Repurposing by Leveraging Node Promiscuity in Biomedical Knowledge Graphs.
ACM Trans. Comput. Heal., January, 2025

RL-CURATE-KG: Multi-Agent Reinforcement Learning for Scalable Knowledge Graph Curation.
Proceedings of the IEEE International Conference on Big Data, 2025

AMSP-KG: Automated Mapping of Sentences to Paths in Knowledge Graphs.
Proceedings of the IEEE International Conference on Big Data, 2025

Bridging Semantic Gaps in Federated Knowledge Graphs with Context-Enriched Synonym Detection.
Proceedings of the IEEE International Conference on Big Data, 2025

2024
INTEGRATE-KG: A Workflow For Unifying Heterogeneous Data Driven by Shared Languages.
Proceedings of the IEEE International Conference on Big Data, 2024

Semantics-Aware Path Ranking On Information Extracted from Knowledge Graphs.
Proceedings of the IEEE International Conference on Big Data, 2024

FPP-Hunter: Expert-Guided Discovery Of Functional Path Patterns.
Proceedings of the IEEE International Conference on Big Data, 2024

2023
Provenance-Aware Data Integration and Summarization Querying for Knowledge Graphs.
Proceedings of the Information Integration and Web Intelligence, 2023

GAME: Improving Efficiency and Effectiveness of Knowledge-Graph Rule Mining via Data Reduction.
Proceedings of the IEEE International Conference on Big Data, 2023

BUILD-KG: Integrating Heterogeneous Data Into Analytics-Enabling Knowledge Graphs.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Workflow for Domain- and Task-Sensitive Curation of Knowledge Graphs, with Use Case of DRKG.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Explaining Drug-Discovery Hypotheses Using Knowledge-Graph Patterns.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
A Recurrent Transformer Network for Novel View Action Synthesis.
Proceedings of the Computer Vision - ECCV 2020, 2020


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