Speculation on graph computation architectures and computing via synchronization
<|reference_start|>Speculation on graph computation architectures and computing via synchronization: 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.<|reference_end|>
@article{shanks2004speculation,
    title={Speculation on graph computation architectures and computing via
  synchronization},
    author={Bayle Shanks},
    journal={arXiv preprint arXiv:cs/0404045},
    year={2004},
    archivePrefix={arXiv},
    eprint={cs/0404045},
    primaryClass={cs.NE cs.AI}
}