Translated Data: The team led by Professor Chen Yixin from the University of Washington, along with Zhang Muhan from Peking University and Tao Dacheng from JD Research Institute, have jointly proposed the first universal framework in the field of graphs. This framework is capable of addressing classification tasks across any dataset, task type, and scenario within the graph domain. By describing the node and edge information in all graph data using a unified natural language framework, and leveraging text graphs, it has achieved the alignment and unification of graph data distribution, as well as the unified representation of various sub-tasks in the graph field.