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agentic-graph-learning

topic1 events
papersSEP 10 04:00 UTC

Multi-Agent Agentic Graph Learning via Structural Signatures

A newly posted arXiv paper proposes a multi-agent extension of agentic graph learning, a technique where LLM-driven agents sample parts of a graph as evidence before making a prediction. The approach uses structural signatures to coordinate how multiple agents divide and process graph reasoning tasks. The work targets improved performance on graph reasoning benchmarks compared with prior single-agent methods.

agents/graph-learning/llm/research