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PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
- Network alignment (NA) is essential for various multi-network learning tasks, but there is a lack of comprehensive library for benchmarking NA methods.
- PLANETALIGN is introduced as a Python library for network alignment, providing built-in datasets, methods, and evaluation pipelines with easy-to-use APIs.
- It integrates 18 datasets and 14 NA methods, along with extensible APIs for method development and systematic evaluation using a variety of metrics.
- The library aims to offer practical insights into the strengths and limitations of existing NA methods to aid in the development of more effective and robust approaches.
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