We invite submissions to the "Next-Gen-BiGLA" workshop, co-located with IEEE BigData 2024 in Washington D.C., December 15-18, 2024. This workshop is dedicated to pioneering advanced solutions in graph learning and analytics. As graphs become integral to extracting insights across diverse fields, we focus on the challenges of scalability, dynamism, and innovative algorithmic approaches. Topics of interest include, but are not limited to:

- Scalable algorithms for graph learning and analytics
- Graph neural networks and deep learning on graphs
- Streaming and dynamic graph systems
- Quantum graph computing
- Applications in social networks, bioinformatics, cybersecurity
- Privacy, security, and interoperability in graph analytics
- New hardware/platforms for graph computing

Important Dates:
Paper Submission Deadline: October 1, 2024
Notification of Acceptance: November 4, 2024
Camera-Ready Submission: November 20, 2024

Submissions should be up to 10 pages (references included), following the IEEE Computer Society Proceedings Manuscript Formatting Guidelines (in the IEEE 2-column format), and be submitted via the Cyberchair system: https://wi-lab.com/cyberchair/2024/bigdata24/scripts/submit.php?subarea=S20&undisplay_detail=1&wh=/cyberchair/2024/bigdata24/scripts/ws_submit.php. The workshop follows a single-blind review process.

For more details, please visit our workshop webpage: https://nextgenbigla.github.io/.

Join us in shaping the future of graph computing!