Scaling Associative Memory: A Sparse Graph Approach Versus Modern Hopfield Networks
The modeling of associative memory increasingly draws on concepts from network science. While Modern Hopfield Networks (MHNs), often viewed as densely connected graphs with attention mechanisms, achieve high performance, their computational complexity imposes scalability challenges due to their computational cost. This...