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Bridging the Gap Between BFS and Indexing for Large Graphs

Bridging the Gap Between BFS and Indexing for Large Graphs

WormHole is a novel algorithm that bridges the gap between traversal-based and index-based graph search methods. It enables fast, scalable shortest-path queries on massive real-world networks without requiring full graph access or large preprocessing overhead. By exploiting core-periphery structures, WormHole constructs a compact sublinear index, delivers near-exact paths, and can be combined with existing methods for even faster results.


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I think Stanley double-posted this similar topic, but here's the paper:
https://arxiv.org/abs/2406.08624

Pretty nifty. It sounds like they pre-index and compare different datasets to speed up queries when needed.
Balancing those was hard on large graphs.


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