ADIA Lab Seminar: High-Performance Graph Analytics for Motif Finding in Neuroscience Connectome Graphs and Beyond using Arachne
Abstract
Professor David A. Bader will present his latest research on Arachne, an open-source framework that democratizes high-performance graph analytics through a Python interface. Arachne enables complex subgraph analytics to scale seamlessly from laptops to supercomputers while abstracting away parallelism complexities.
| Date | Dec 11, 2025 5:00 PM – 6:30 PM |
| Event | ADIA Lab Seminar Series |
| Location | ADGM Academy, Sheikh Zayed Bin Sultan Street, Abu Dhabi, United Arab Emirates |
The seventh and final session of the 2025 ADIA Lab Seminar Series, “High-Performance Graph Analytics for Motif Finding in Neuroscience Connectome Graphs and Beyond using Arachne.”
Hosted by ADIA Lab at the ADGM Academy, this seminar will explore how next-generation high-performance graph analytics are transforming fields such as neuroscience, cybersecurity, genomics, and large-scale data science.
Keynote Speaker:
Professor David A. Bader – Distinguished Professor, New Jersey Institute of Technology, and one of the world’s foremost experts in high-performance computing, large-scale analytics, and data science.
Professor David A. Bader will present his latest research on Arachne, an open-source framework that democratizes high-performance graph analytics through a Python interface. Arachne enables complex subgraph analytics to scale seamlessly from laptops to supercomputers while abstracting away parallelism complexities.
Seminar Overview:
As the volume and complexity of network-structured data continues to grow across domains, scalable graph analytics have become essential - but historically accessible only to HPC specialists.
In this seminar, Professor Bader will discuss:
- How Arachne, an open-source Python-based framework, democratizes access to high-performance graph analytics
- How Arachne powers motif finding in billion-edge neuroscience connectomes
- HiPerMotif - a breakthrough algorithm delivering up to 66× speedups over parallel approaches
- Real-world applications including Harvard’s MoMo tool for neural motif visualization
- Benchmark comparisons showing 38-second subgraph searches vs. 16,000+ seconds in NetworkX
- How accessible HPC tools can accelerate discovery across neuroscience, cybersecurity, genomics, and more
Why Attend?
Gain first-hand insight into how next-generation graph analytics are reshaping scientific research. Learn how accessible HPC frameworks can unlock unprecedented scale, empowering researchers beyond traditional supercomputing expertise.
Event Details:
Date: Thursday, December 11, 2025
Time: 5:00 PM – 6:30 PM
Location: ADGM Academy, 21st Floor, Al Maqam Tower, Al Maryah Island, Abu Dhabi (Google Maps)
About the Speaker:
Professor David A. Bader is a globally recognized leader in high-performance computing, data science, and large-scale graph analytics. He is the Founding Director of the Institute for Data Science at NJIT and has held leadership roles at Georgia Tech, DARPA research programs, and major national computing initiatives.
He is a Fellow of IEEE, ACM, AAAS, and SIAM; recipient of the IEEE Sidney Fernbach Award; and a 2025 inductee into the Mimms Museum of Technology and Art’s Hall of Fame. Professor Bader has authored 400+ scientific publications and is widely recognized for pioneering advances in real-world HPC applications, from cybersecurity to computational genomics.
We look forward to welcoming you to the final seminar of the year.