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Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Master’s Dissertation Presentation.
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Master’s Dissertation supervised by Prof Pietro Liò, Dr Dominique Beaini and Hannes Stärk – We propose GraphAC (Graph Adversarial Collaboration), a conceptually novel, principled, task-agnostic, and stable framework for evaluating GNNs through contrastive self-supervision, without the need of handcrafted augmentations.
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Master’s Dissertation supervised by Prof Pietro Liò, Dr Dominique Beaini and Hannes Stärk – We propose GraphAC (Graph Adversarial Collaboration), a conceptually novel, principled, task-agnostic, and stable framework for evaluating GNNs through contrastive self-supervision, without the need of handcrafted augmentations.