Molecular Graph Edge Partitioning and Node Degree Data for Gastroesophageal Disorder

Edge partitioning results and node degree information derived from molecular graph structures. The dataset was authored by Mythili V and last updated on April 19, 2026. It is designed to support analysis of network topology, connectivity patterns, and structural properties.

Use Cases

• Analyzing network topology based on edge partitioning results.
• Studying connectivity patterns based on node degree information.
• Investigating structural properties of graphs derived from molecular structures.

Strengths

• Data is licensed under CC-BY-4.0, allowing for open sharing and adaptation.
• The description explicitly states the dataset is designed for network topology and structural property analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Derived from graph structures, likely from molecular data related to gastroesophageal disorder.

Freshness

Last updated 2026-04-19 13:05:51; freshness should be verified.