A Faster, More Efficient Approach to Large-Scale Graph Computation
16 Oct 2025
WormHoleđť‘€ achieves massive speed and efficiency gains over MLL, completing complex graph setups faster and at lower computational cost.
Why WormHole Could Be the Future of Fast Graph Queries
16 Oct 2025
WormHole slashes graph query costs and setup times compared to BiBFS, PLL, and MLL, offering near-perfect accuracy with minimal resources.
WormHole Algorithm Outperforms BiBFS in Query Efficiency and Accuracy
16 Oct 2025
WormHole algorithm delivers faster, more accurate shortest path queries than BiBFS, with lower setup time and disk space use.
Understanding Approximation Error and Query Complexity in WormHole Routing
16 Oct 2025
WormHole achieves efficient graph routing with sublinear complexity and an O(log log n) additive error—balancing speed and precision.
Understanding Power-Law Degree Distributions in Random Graphs
16 Oct 2025
Proof-of-concept analysis showing how WormHole achieves sublinear performance on Chung-Lu random graphs with power-law distributions.
The WormHole Algorithm for Approximate Shortest Paths in Large Graphs
15 Oct 2025
WormHole speeds up shortest path searches using smart graph decomposition and BiBFS routing to achieve near-exact results with sublinear efficiency.
A Brief Review of Modern Shortest Path Algorithms and Graph Optimization Techniques
15 Oct 2025
An overview of modern shortest-path algorithms — from landmark labeling to deep learning embeddings and core-periphery optimization.
Finding Shortest Paths Faster With Less Data
15 Oct 2025
WormHole answers shortest-path queries fast by routing through a sublinear core, using BiBFS and inner-ring search to trade tiny error for big speed.
How WormHole Speeds Up Pathfinding in Billion-Edge Graphs
15 Oct 2025
WormHole is a fast, sublinear algorithm for shortest paths in massive graphs—100x faster setup, near-perfect accuracy, and provable guarantees.