Call for Papers: Special Issue on Knowledge Discovery from Graphs

Submit your research on Knowledge Discovery from Graphs to a special issue in Springer Data Mining and Knowledge Discovery Journal by October 13, 2025.

A special issue on Knowledge Discovery from Graphs is now open for submissions in the Springer Data Mining and Knowledge Discovery Journal. This issue aims to bring together research on graph data structures and their applications across various domains.

Key topics of interest include:

• Algorithm design and graph representations
• Evaluation and benchmarks for graph mining and learning methods
• Applications of knowledge discovery from graphs in real-world scenarios
• Beyond accuracy in knowledge discovery from graphs, including interpretability and robustness
• Emerging trends and interdisciplinary approaches in KDG

Submissions are due by October 13, 2025. For more details, visit the journal’s webpage.

Tags: Knowledge Discovery from Graphs, Graph Data Structures, Data Mining, Machine Learning, Special Issue, Springer Journal, Graph Mining