Hybrid Conferencee

International Conference on Graph Analytics for Networked Engineering Systems (ICGANES - 26)

4th - 5th September 2026 | Minsk, Belarus

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Minsk. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Minsk event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Minsk conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Minsk, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Minsk."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICGANES aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Graph analytics techniques for engineering systems
02
Applications of graph theory in network analysis
03
Real-time graph processing for engineering applications
04
Graph-based models for system optimization
05
Challenges in large-scale graph analytics
06
Visualization of complex network structures
07
Graph algorithms for data science applications
08
Social network analysis in engineering contexts
09
Graph-based machine learning methods
10
Case studies of graph analytics applications
11
Interconnected systems and graph theory
12
Graph databases for engineering data management
13
Ethical considerations in graph analytics
14
Dynamic graph analytics for real-time systems
15
Future trends in graph analytics for engineering
16
Graph-based approaches to data integration
17
Scalability issues in graph processing
18
Graph analytics for transportation systems
19
Applications of graphs in environmental engineering
20
User experience design for graph analytics tools