You would think so, but the problem is more complex than it appears to be: https://dl.acm.org/doi/pdf/10.1145/3317550.3321441?download=true https://dl.acm.org/d

You would think so, but the problem is more complex than it appears to be: https://dl.acm.org/doi/pdf/10.1145/3317550.3321441?download=true https://dl.acm.org/doi/pdf/10.1145/3317550.3321441?download=... There's a big "impedance mismatch" between (1) "programmability" (by which I mean, being able to write high-level code that under-the-hood requires dynamic modification, reshaping, and/or combination-optimization of those adjacency matrices you mention, without worrying about performance) and (2) existing infrastructure (frameworks that rely on highly optimized computation "kernels" that cleverly exploit the memory layout and other features of accelerated hardware, i.e., GPUs/TPUs).