Mugilan Mariappan
I am a PhD student at Simon Fraser University, advised by Prof. Keval Vora. My research is on developing tools and techniques for large-scale graph processing.
I built GraphBolt and DZiG to perform incremental computation on streaming graphs, and to enable real-time analytics on large-scale streaming graphs with provable correctness guarantees.
Recently, I interned at LinkedIn Graph Systems Lab, working with Dr. Juan Colmenares from LinkedIn and Dr. Yuanyuan Tian from Microsoft Gray Systems Lab.
Research Interests
Streaming graph processing, incremental computing, graph databases, graph mining, and graph learning.
Publications
Anti-Vertex For Neighborhood Constraints In Subgraph Queries
Proceedings of the ACM SIGMOD Joint International Workshop on Graph Data Management
Experiences & Systems (GRADES) and Network Data Analytics (NDA), Philadelphia, June 2022.
GRADES-NDA 2022
DZiG: Sparsity-Aware Incremental Processing of Streaming Graphs
European Conference on Computer Systems, United Kingdom, April 2021.
EuroSys 2021
GraphBolt: Dependency-Driven Synchronous Processing of Streaming Graphs
European Conference on Computer Systems, Dresden, March 2019.
EuroSys 2019
Awards
- Helmut & Hugo Eppich Family Grad Scholarship - 2022
- CMPT Graduate Fellowship, Simon Fraser University - 2019, 2021, 2022
- Graduate Fellowship, Simon Fraser University - 2018, 2020, 2022
- Best Poster Award, CS Research Day, Simon Fraser University - 2019
- Grad Entrance Scholarship, Simon Fraser University - 2018
- Spotlight Award, athenaHealth - 2014, 2015, 2017