Extremely Fast and Compact Binary Graph Representations via Randomized Operator Sketching
Graph neural networks typically rely on dense, floating-point node representations, which can impose substantial memory and computational costs. Binary graph hashing offers an alternative by encoding node information as compact bit strings. However, existing approaches either sacrifice global topological information fo...
Srajan Agarwal, P. Megha, Bikas C. Das et al.
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