GSPELL projects GNN embeddings into LLM space and builds hybrid prompts to produce faithful natural-language explanations and sparse subgraphs for GNN predictions on text-attributed graphs.
In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Min- ing, page 747–758
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From Nodes to Narratives: Explaining Graph Neural Networks with LLMs and Graph Context
GSPELL projects GNN embeddings into LLM space and builds hybrid prompts to produce faithful natural-language explanations and sparse subgraphs for GNN predictions on text-attributed graphs.