Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution

ArXi:2603.13360v1 Announce Type: cross Dynamic graphs are common in real-world systems such as social media, recommender systems, and traffic networks. Existing dynamic graph models for link prediction often fall short in capturing the complexity of temporal evolution. They tend to overlook fine-grained variations in temporal interaction order, struggle with dependencies that span long time horizons, and offer limited capability to model pair-specific relational dynamics.