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Paddle Graph Learning and Its Applications
Zhengjie Huang

Sun Jul 18 07:00 PM -- 07:20 PM (PDT) @

In this talk, we will introduce you to PGL, an efficient, flexible, and large-scale graph learning framework based on PaddlePaddle. One of the most important benefits of graph neural networks compared to other models is the ability to use node-to-node connectivity information, but coding the communication between nodes is very cumbersome. At PGL we adopt Message Passing Paradigm to make building a customize graph neural network convenient. We also provide several examples for industrial GNN deployment with a distributed trillion scale graph engine and parameter server. Furthermore, we will present our recent studies on GNNs which achieve several SOTAs or championship in recent graph challenges.

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Zhengjie Huang

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