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What is Low Rank Methods For Multiple Network Alignment about?

This paper presents a novel algorithm for multiple network alignment that effectively scales to thousands of networks and nodes, overcoming the computational challenges faced by existing methods. The algorithm utilizes a low-rank tensor structure within a heuristic framework based on the IsoRank method, enabling efficient computation and improved alignment quality. Experimental results demonstrate that this approach is faster and more effective than traditional pairwise alignment methods, especially in scen

Author

zhengyang219

Language

EN