  A speculative overview of a future topic of research. The paper is a
collection of ideas concerning two related areas:
  1) Graph computation machines ("computing with graphs"). This is the class of
models of computation in which the state of the computation is represented as a
graph or network.
  2) Arc-based neural networks, which store information not as activation in
the nodes, but rather by adding and deleting arcs. Sometimes the arcs may be
interpreted as synchronization.
  Warnings to readers: this is not the sort of thing that one might submit to a
journal or conference. No proofs are presented. The presentation is informal,
and written at an introductory level. You'll probably want to wait for a more
concise presentation.
