cross-task transfer 1graph neural networks 1graph representation learning 1link prediction 1node classification 1transfer learning 1
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cs.LG2026
Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors
Neelam Akula, Surbhi Kumar, Murat Kantarcioglu +1
The paper defines a clean evaluation protocol for transferring knowledge between node classification and link prediction on the same graph, shows that transfer is directionally dep…
cs.LG2026
Adversarial Graph Neural Network Benchmarks: Towards Practical and Fair Evaluation
Tran Gia Bao Ngo, Zulfikar Alom, Federico Errica +2
Adversarial learning and the robustness of Graph Neural Networks (GNNs) are topics of widespread interest in the machine learning community, as documented by the number of adversar…