Graph Neural Networks for the Global Economy with Microsoft DeepGraph
Jaewon Yang, Baoxu Shi, Alex Samylkin · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining · 2022
Graph Neural Networks (GNNs) are AI models that learn embeddings for the nodes in a graph and use the embeddings to perform prediction tasks. In this talk, we present how we developed GNNs for the LinkedIn economic graph. LinkedIn economic graph is a digital representation of the global economy with 1B nodes and 200B edges, consisting of social graphs about members' connections, activity graphs between members and other economic entities, and knowledge graphs about members', companies', job postings' attributes. By applying GNN to this graph, we can utilize the full potential of the economic graph in many search and recommendation products across LinkedIn.