Graph Neural Networks

Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
Master’s Dissertation Presentation.
8 Jun 2022 9:10 AM — 1:00 PM Computer Laboratory, University of Cambridge
Xiangyu Zhao
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
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.
Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Yiren Zhao, Pietro Liò
27 May 2022
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.
Xiangyu Zhao, Hannes Stärk, Dominique Beaini, Yiren Zhao, Pietro Liò
Improving Graph Generative Models via Expressive Graph Neural Networks
MEng Graph Representation Learning Mini-Project.
Xiangyu Zhao, Chaitanya K. Joshi, Cristian Bodnar
26 Apr 2022
Improving Graph Generative Models via Expressive Graph Neural Networks
MEng Graph Representation Learning Mini-Project.
Xiangyu Zhao, Chaitanya K. Joshi, Cristian Bodnar