Artificial Intelligence 11 min read

BDTC 2022 China Big Data Technology Conference – Graph Machine Learning Forum (September 3, 2022)

The BDTC 2022 China Big Data Technology Conference, held on September 3 at Fourth Paradigm Technology Co., showcases a Graph Machine Learning Forum featuring leading academics and industry experts who present cutting‑edge research, scalable graph neural network systems, financial fraud defense, and autonomous knowledge‑graph learning, with detailed speaker bios, talk titles, abstracts, and registration information.

DataFunTalk
DataFunTalk
DataFunTalk
BDTC 2022 China Big Data Technology Conference – Graph Machine Learning Forum (September 3, 2022)

BDTC 2022 China Big Data Technology Conference (BDTC) will open on September 3, 2022, hosted by the China Computer Federation and organized by the CCF Big Data Expert Committee, with co‑organizers Beijing University of Posts and Telecommunications and DataFountain, and sponsored by Fourth Paradigm Technology Co.

Special Guests : Du Xiaoyong (CCF Fellow, professor at Renmin University), Tu Weiwei (Vice President of Fourth Paradigm, senior scientist), Shi Chuan (Professor at Beijing University of Posts and Telecommunications), Cui Bin (Professor at Peking University), Ao Xiang (Associate researcher at Chinese Academy of Sciences), Yao Quanming (Assistant Professor at Tsinghua University), Zhang Zhiqiang (Senior Algorithm Expert at Ant Group), Zhao Huan (Senior Researcher at Fourth Paradigm).

Forum Chair : (not named in source).

Speaker Highlights :

Du Xiaoyong – Biography and achievements; no specific talk listed.

Tu Weiwei – Biography; no specific talk listed.

Shi Chuan – Biography; no specific talk listed.

Cui Bin – Talk title: "Scalable Graph Neural Architecture Search System"; abstract describes challenges of scalability and modeling in large‑scale graph learning, system design, experimental results, and open‑source code.

Ao Xiang – Talk title: "Graph Machine Learning for Financial Fraud Adversarial Attacks"; abstract discusses adversarial threats in financial risk control, robustness, and recent research trends.

Yao Quanming – Talk title: "Autonomous Learning Methods for Knowledge Graphs"; abstract introduces methods for automated hyper‑parameter tuning, model search, and subgraph learning with strong results on Open Graph Benchmarks.

Zhang Zhiqiang – Talk title: "Graph Learning Technologies for Industrial Scenarios: Systems, Algorithms, and Applications"; abstract presents distributed graph learning systems for trillion‑scale data, industrial GNN models, and case studies in finance, security, marketing, and payments.

Zhao Huan – Talk title: "Automated Graph Neural Networks (AutoGraph) Research and Deployment at Fourth Paradigm"; abstract covers AutoML for GNN architecture design, award‑winning OGB solutions, and applications in tabular prediction and biomedicine.

Registration is open via QR code images; participants are encouraged to join the live broadcast and engage with the technical feast.

artificial intelligenceBig DataKnowledge GraphConferenceGraph Machine LearningScalable GNN
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