Large-Scale Complex Heterogeneous Graph Data Intelligent Analysis Technology Wins 2022 CIEE Science and Technology Award

The 2022 China Institute of Electronics (CIEE) Science and Technology Award recognized a collaborative project between Beijing University of Posts and Telecommunications and Ant Group for pioneering large-scale heterogeneous graph neural network models, a trillion‑scale dynamic graph learning system, and extensive industry applications, earning top honors, patents, papers, and standards.

Technology Awardgraph neural networksheterogeneous graphs

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Large-Scale Complex Heterogeneous Graph Data Intelligent Analysis Technology Wins 2022 CIEE Science and Technology Award

Meituan Technology Team

Sep 8, 2022 · Artificial Intelligence

Graph Neural Networks for Open Environments

The Tsinghua‑Meituan Digital Life Joint Research Institute will host an academic salon on September 14, 10:00‑11:00, featuring Prof. Shi Chuan of Beijing University of Posts and Telecommunications discussing recent advances in graph neural networks for heterogeneous, dynamic, sparse, and adversarial open‑environment graphs, with access via Tencent Meeting ID 597‑765‑237 and a WeChat group QR code.

Open Environmentartificial intelligenceheterogeneous graphs

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Graph Neural Networks for Open Environments

JD Retail Technology

Jan 24, 2022 · Artificial Intelligence

Galileo: An Open‑Source Scalable Graph Deep Learning Framework for Industrial‑Scale Applications

Galileo is an open‑source, distributed graph deep‑learning framework that supports ultra‑large heterogeneous graphs, dual TensorFlow/PyTorch back‑ends, and a flexible API, enabling fast prototyping of graph neural networks such as HeteSAGE for real‑world recommendation and other AI scenarios.

AI FrameworkDistributed TrainingGalileo

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Galileo: An Open‑Source Scalable Graph Deep Learning Framework for Industrial‑Scale Applications