This PRE will explore the latest advancements in GraphAI and graph technologies. Following the rise of GraphRAG and Graph Agents in the past year, we will focus on HugeGraph’s real-world Graph AI implementations. We will delve into solutions for complex queries and the design and application of Function Graphs in intelligent operations, and share practical experiences in vertical domain graphs (legal, person, enterprise) on balancing improved recall accuracy with optimized efficiency and cost. Furthermore, we will introduce HugeGraph’s new Graph-GNN module and its integration with LLMs, looking ahead to HugeGraph’s plans and reflections as it approaches incubation graduation.

Speakers:

Song Jin: HugeGraph committer

I am currently a second-year graduate student at Wuhan University, actively contributing to the HugeGraph-AI community. My primary research focus is on GraphRAG.

Zhe Wang: Hugegraph commiter

Interested in graph store and graph AI.