AgentGFM: Graph Foundation Model with Node-Agent Information-Flow Control
Researchers propose AgentGFM, a graph foundation model that treats each node as an autonomous agent capable of controlling information propagation. Current GFMs rely on fixed propagation schemes that fail to adapt to varying structural patterns across graphs and nodes. AgentGFM frames information-flow control as agent-based decision making, allowing nodes to determine how information should be propagated. The approach is inspired by recent advances in agent technology and aims to improve transferability across multi-domain graphs. The paper is available on arXiv under identifier 2607.26533.
Key facts
- AgentGFM is a graph foundation model proposed by researchers.
- It treats each node as an autonomous agent for information-flow control.
- Current GFMs use fixed propagation schemes that do not adapt to structural variation.
- AgentGFM formulates information-flow control as agent-based decision making.
- The approach is inspired by recent advances in agent technology.
- The paper is available on arXiv with identifier 2607.26533.
- The research focuses on improving transferability across multi-domain graphs.
- The model allows nodes to autonomously determine information propagation.
Entities
Institutions
- arXiv