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Poster
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Tue 17:00
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Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure
Ryoma Sato
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Poster
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Wed 14:00
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Total Variation Graph Neural Networks
Jonas B. Hansen · Filippo Maria Bianchi
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Workshop
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Sat 13:45
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Stefanie Jegelka: Learning discrete optimization: Loss functions and graph neural networks
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Workshop
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Fri 19:00
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On the Ability of Graph Neural Networks to Model Interactions Between Vertices
Noam Razin · Tom Verbin · Nadav Cohen
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Workshop
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Low Complexity Neural Network-Based In-loop Filtering with Decomposed Split Luma-Chroma Model for Video Compression
Tong Shao · Jay Shingala · Ajay Shyam · Peng Yin · Arjun Arora · Sean McCarthy
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Poster
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Thu 13:30
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Vertical Federated Graph Neural Network for Recommender System
Peihua Mai · Yan (James) Pang
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Workshop
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Generating Global Factual and Counterfactual Explainer for Molecule under Domain Constraints
Danqing Wang · Antonis Antoniades · Ambuj Singh · Lei Li
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Workshop
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Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
Vijay Lingam · Mohammad Sadegh Akhondzadeh · Aleksandar Bojchevski
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Poster
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Wed 14:00
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GREAD: Graph Neural Reaction-Diffusion Networks
Jeongwhan Choi · Seoyoung Hong · Noseong Park · Sung-Bae Cho
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Poster
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Wed 17:00
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On the Expressive Power of Geometric Graph Neural Networks
Chaitanya Joshi · Cristian Bodnar · Simon Mathis · Taco Cohen · Pietro Lió
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Poster
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Thu 16:30
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Conformal Prediction Sets for Graph Neural Networks
Soroush H. Zargarbashi · Simone Antonelli · Aleksandar Bojchevski
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Workshop
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Learning the galaxy-environment connection with graph neural networks
John F. Wu · Christian Jespersen
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