Open rusty1s opened 1 month ago
Paper: Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text Attributed Graph Representation Learning (ICLR 2024)
The paper uses the power of an LLM to get a meaningful explanation, which is then used to fine-tune a smaller LM+GNN. Really interesting paper. Would be great to have an example of it in PyG :)
Hi @rusty1s ,
I can work on creating an example implementation of this feature in PyG.
That would be amazing :)
PR should be up by end of this week.
🚀 The feature, motivation and pitch
Paper: Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text Attributed Graph Representation Learning (ICLR 2024)
The paper uses the power of an LLM to get a meaningful explanation, which is then used to fine-tune a smaller LM+GNN. Really interesting paper. Would be great to have an example of it in PyG :)