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cs.LG2025
Symbolic Graph Intelligence: Hypervector Message Passing for Learning Graph-Level Patterns with Tsetlin Machines
Christian D. Blakely
We propose a multilayered symbolic framework for general graph classification that leverages sparse binary hypervectors and Tsetlin Machines. Each graph is encoded through structur…
cs.LG2024
Hyperdimensional Vector Tsetlin Machines with Applications to Sequence Learning and Generation
Christian D. Blakely
We construct a two-layered model for learning and generating sequential data that is both computationally fast and competitive with vanilla Tsetlin machines, adding numerous advant…