Dynamic Graph World Modelling: Learning Future Dynamics from Temporal Context
DyG-WM is proposed, the first framework to jointly predict future node and relation representations from temporal context by answering three questions: what has evolved, how it evolved, and what will evolve next.
Bo Li, Yue Yang, Yu-Jin Huang et al.
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