Graph Perceiver IO: A General Architecture for Graph Structured Data. (arXiv:2209.06418v1 [cs.LG])

Multimodal machine learning has been widely studied for the development of
general intelligence. Recently, the remarkable multimodal algorithms, the
Perceiver and Perceiver IO, show competitive results for diverse dataset
domains and tasks. However, recent works, Perceiver and Perceiver IO, have
focused on heterogeneous modalities, including image, text, and speech, and
there are few research works for graph structured datasets. A graph is one of
the most generalized dataset structures, and we can represent the other
dataset, including images, text, and …

architecture arxiv data general graph perceiver structured data