Graph Database Storage and Knowledge Graph Practices – Forum Overview

As knowledge graphs become increasingly prevalent across industries, their scenario complexity and data scale have exploded in recent years, creating significant storage and computation challenges.

This sub‑forum, themed “Massive Knowledge Storage and Computing,” invites leading domestic and international experts in the knowledge‑graph field to discuss graph technologies in depth.

The topics focus on technical sharing, starting with graph storage considerations and practices, followed by graph query languages and solutions to financial‑industry challenges, practical onboarding tips for emerging graph standards, and finally a case study of a trillion‑level financial knowledge‑graph data management platform.

Speaker: Lin Heng (Ant Group, Head of Open‑Source Graph Database) – Bio: Co‑founder of Feima Technology, PhD from Tsinghua University, responsible for TuGraph. Talk: “Knowledge Graph Storage Technology and Practice”. Outline: 1) RDF and property graphs; 2) Core goals of graph database storage; 3) Mainstream storage solutions; 4) Galaxybase graph database application practice. Audience gains: understanding the fundamental differences between graph and relational storage, learning common graph storage techniques, and grasping practical implementation details.

Speaker: Zhou Yan (Chuanglin Technology CTO) – Bio: Co‑founder of Zhejiang Chuanglin Technology, distributed data processing expert, Apache contributor, graph database and computing specialist, Galaxybase product lead. Talk: “Graph Database Query and Algorithm Correctness Verification”. Outline: 1) RDF and property graphs; 2) Core storage goals; 3) Mainstream solutions; 4) Galaxybase practice. Audience gains: learning how to verify query results, analyze vendor benchmarks, and understand underlying principles of graph databases.

Speaker: Peng Zhiwei (Ant Group Technical Expert) – Bio: Leader of Ant Graph Computing GeaFlow DSL, Apache Calcite/Hudi committer, extensive real‑time and distributed SQL engine experience. Talk: “Graph Chart Fusion Analysis Language Practice”. Outline: challenges of graph computing in Ant Finance risk control, design of a unified graph‑chart DSL, distributed complex graph query, optimization, and application scenarios. Audience gains: understanding typical graph‑computing use cases, current analysis‑language challenges, and the DSL solution.

Speaker: Sun Yuxi (Ultipa CEO) – Bio: High‑performance computing, storage, big‑data, and database expert; former CTO of EMC Asia‑Pacific R&D professor and committee member in cloud computing; author of multiple technical books. Talk: “Graph Database Query and Algorithm Correctness Verification”. Outline: 1) Market‑level graph database implementation logic; 2) Interpreting vendor benchmark reports; 3) Selecting and validating graph databases; 4) Systematic methods for result verification (source tracing, tool‑based, programming‑based). Audience gains: mastering verification techniques, recognizing critical issues in graph products, and elevating graph‑database expertise.

Speaker: Yi Peng (Ant Group Senior Technical Expert) – Bio: Master’s in Computer Science from Xi’an Jiaotong University, leads Ant’s knowledge‑graph construction engine, previously at Baidu. Talk: “Large‑Scale Semantic Knowledge Management Practice”. Outline: 1) Ant knowledge‑graph platform overview; 2) Key technologies for semantic knowledge management; 3) Semantic knowledge representation; 4) Semantic knowledge storage; 5) Business scenarios for knowledge interconnection. Audience gains: insight into Ant’s platform status, practical techniques for semantic knowledge management at scale, and financial‑domain applications.

Attendees can scan the QR code to register for the live broadcast of the forum for free.