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.
The Tsinghua‑Meituan Digital Life Joint Research Institute holds an academic salon on graph neural networks for open environments.
Topic: Recent work on GNNs for heterogeneous, dynamic, sparse, and adversarial graphs, presenting early models.
Speaker: Prof. Shi Chuan, Beijing University of Posts and Telecommunications, research in data mining, machine learning, AI.
Schedule: Sep 14, 10:00‑11:00, Tencent Meeting ID 597‑765‑237. Join the WeChat group via QR code.
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