A table with graph optimization techniques

[PaulRBerg]

Table

The subgraphs will each have two states: (i) Optimized State (OS) and (ii) Raw State (RS). The OS will be constructed using (some of) the techniques below.

Technique	Description
Decomposition	The global graph is partitioned into disjoint subgraphs.
Traversal Cutoff	Outgoing vertices are not traversed if the transaction increases a vertex's incoming streaming rate.
Vertex Deletion	Delete redundant vertices with identical incoming and outgoing streaming rate.
Vertex Merging1	Merge vertices that exhibit identical behavior in terms of their connections and transactions with other vertices.

Related

• How to prevent Unbounded Computational Growth (UCG)? #57 (reply in thread)
• Computational Irreducibility and Linear Time Complexity #107
• Pragmatic approach to solve UCG #114

Footnotes

1. For more details about vertex merging, see my conversation with ChatGPT. ↩