Search Results for author:
Found 2 papers, 2 papers with code
Can GNN be Good Adapter for LLMs?
In terms of efficiency, the GNN adapter introduces only a few trainable parameters and can be trained with low computation costs.
GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
This synergy equips LLMs with the ability to proficiently interpret and reason on graph data, harnessing the superior expressive power of graph learning models.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
