Yes. The R&D was almost entirely funded by multiple private research organizations over several years at relatively high cost (and not always the ones you would think). As a practical matter, many algorithm patents have not been enforceable for years even though they are well-supported in international law. Consequently, almost everything related to massively parallel graph technologies is closely held as a trade secret. Academia is pretty far behind the state-of-the-art in this area.
I've done work in other algorithm areas where the situation is similar. It often costs millions of dollars to develop major computer science advances but the best way to recover that investment is to leverage it without publishing it. Reverse engineering a thoroughly obfuscated technology takes a lot longer than when someone publishes the blueprints.
I will add that a lot of these algorithms are not at all obvious until you understand how they work. While knowing something is possible helps, it still requires a fair amount of theoretical computer science cleverness.
I've done work in other algorithm areas where the situation is similar. It often costs millions of dollars to develop major computer science advances but the best way to recover that investment is to leverage it without publishing it. Reverse engineering a thoroughly obfuscated technology takes a lot longer than when someone publishes the blueprints.
I will add that a lot of these algorithms are not at all obvious until you understand how they work. While knowing something is possible helps, it still requires a fair amount of theoretical computer science cleverness.