PSEALP: patch-based structural external attention with node memory for dynamic link prediction
Dynamic link prediction on temporal graphs is fundamental to many applications such as recommendation, knowledge base completion, and user–item interaction modeling. Most existing dynamic graph neural networks (DGNNs), including memory-based and attention-based models, operate on node-level embeddings and local tempora...