I may not be the first person in this group to notice similarities between AMR and CG, but am now curious.

I stumbled onto a paper
https://aclanthology.org/W17-2315.pdf
Biomedical Event Extraction using Abstract Meaning Representation

which says - among other things:
AMR is a rooted, directed acyclic graph (DAG) that captures the notion of who did what to whom in text, in a way that sentences that have the same basic meaning often have the same AMR. The nodes in the graph (also called concepts) map to words in the sentence and the edges map to relations between the words

Some AMR programs rely on Verbnet for their roles; some CG programs have relied on Framenet for theirs.

My own interest lies in conceptual graphs for biomedical research.

Curious what others might see in connections between AMR and CG

Cheers
Jack