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Poster
Thu 9:00 Unsupervised Learning of Equivariant Structure from Sequences
Takeru Miyato · Masanori Koyama · Kenji Fukumizu
Workshop
Data-driven emergence of convolutional structure in neural networks
Alessandro Ingrosso · Sebastian Goldt
Poster
Thu 9:00 An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti · Stefano Mannelli · Andrew Saxe
Workshop
Improving Protein Subcellular Localization Prediction with Structural Prediction & Graph Neural Networks
Geoffroy Dubourg-Felonneau · Arash Abbasi · Eyal Akiva · Lawrence Lee
Workshop
Improving Protein Subcellular Localization Prediction with Structural Prediction & Graph Neural Networks
Geoffroy Dubourg-Felonneau · Arash Abbasi · Eyal Akiva · Lawrence Lee
Poster
Tue 9:00 Learning Energy Networks with Generalized Fenchel-Young Losses
Mathieu Blondel · Felipe Llinares-Lopez · Robert Dadashi · Leonard Hussenot · Matthieu Geist
Poster
Thu 14:00 Robust Graph Structure Learning via Multiple Statistical Tests
Yaohua Wang · Fangyi Zhang · Ming Lin · Senzhang Wang · Xiuyu Sun · Rong Jin
Poster
Tue 14:00 Uncovering the Structural Fairness in Graph Contrastive Learning
Ruijia Wang · Xiao Wang · Chuan Shi · Le Song
Workshop
Modeling Hierarchical Topological Structure in Scientific Images with Graph Neural Networks
Samuel Leventhal · Attila Gyulassy · Valerio Pascucci · Mark Heimann
Poster
Tue 14:00 Boosting the Performance of Generic Deep Neural Network Frameworks with Log-supermodular CRFs
Hao Xiong · Yangxiao Lu · Nicholas Ruozzi
Poster
Tue 14:00 Ordered Subgraph Aggregation Networks
Chendi Qian · Gaurav Rattan · Floris Geerts · Mathias Niepert · Christopher Morris
Poster
Thu 9:00 GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Shichang Zhang · Yozen Liu · Neil Shah · Yizhou Sun