2023
PRODIGY: Enabling In-context Learning Over Graphs
NeurIPS 2023spotlight
In-context learning is the ability of a pretrained model to adapt to novel and diverse downstream tasks by conditioning on prompt examples, without optimizing any parameters. While large language models have demonstrated this ability, how in-context learning could be performed over graphs is unexpl…