ICLR2023Scientific poster design
Revisiting Robustness in Graph Machine Learning
A real ICLR 2023 conference poster, shown as a scientific poster design reference. Study how the authors lay out the title, figures, and results, then build your own.
Can a reader answer these from the poster?
A well-designed poster lets a passer-by grasp these in seconds — a useful checklist for your own scientific poster design.
- →What is the primary research domain of the study?
- →What problem does the study address regarding Graph Neural Networks (GNNs)?
- →What is the primary goal of the study?
- →What is a key contribution of the study?
- →What methodology is used to study adversarial robustness in graphs?
