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cs.LG2025
Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization
Khushnood Abbas, Ruizhe Hou, Zhou Wengang +4
Graph Neural Networks (GNNs) became useful for learning on non-Euclidean data. However, their best performance depends on choosing the right model architecture and the training obj…
cs.LG2020★ 1 cited
TempNodeEmb:Temporal Node Embedding considering temporal edge influence matrix
Khushnood Abbas, Alireza Abbasi, Dong Shi +4
Understanding the evolutionary patterns of real-world evolving complex systems such as human interactions, transport networks, biological interactions, and computer networks has im…