Inductive Link Prediction

Inductive Link Prediction refers to the task of performing link prediction inference on a new, unseen graph. Its goal is to predict potential links between nodes in the new graph using a pre-learned model. Unlike Transductive Link Prediction, which completes training and inference on the same graph, Inductive Link Prediction has significant application value in dynamic network environments, effectively handling changes and growth in graph structures. It is applicable to areas such as social network analysis, recommendation systems, and bioinformatics.