Molecular learning is pivotal in many real-world applications, such as drug discovery.

TKGs, TKG representation learning poses great challenges to the research community.

Performative prediction aims to model scenarios where predictive outcomes subsequently influence the very systems they target.

(Theorem 4). We also consider Assumption 3. Note that this assumption does not restrict the class of considered Iterative algorithms are traditionally evaluated based on their gradient complexity .