Official Implementation of ICLR 2024 paper: "Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning"

A simple framework for building an easily interpretable computational construct somewhere between a graph automaton and a Turing machine, where states are combinations of (typed) nodes; an example use would be as transparent backend logic by pathing through an ontology.

Turn stories, strategies, or systems into insight. Auto-generate Dialectical Wheels (DWs) from any text to reveal blind spots, surface polarities, and trace dynamic paths toward synthesis. DWs are semantic maps that expose tension, transformation, and coherence within a system—whether narrative, ethical, organizational, or technological.

underground network graph analysis