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Poster
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Thu 9:00
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Simplified Graph Convolution with Heterophily
Sudhanshu Chanpuriya · Cameron Musco
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Workshop
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Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification
Christopher Nielsen · Nils Daniel Forkert
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Poster
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Wed 14:00
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ToDD: Topological Compound Fingerprinting in Computer-Aided Drug Discovery
Andaç Demir · Baris Coskunuzer · Yulia Gel · Ignacio Segovia-Dominguez · Yuzhou Chen · Bulent Kiziltan
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Poster
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Differentiable hierarchical and surrogate gradient search for spiking neural networks
Kaiwei Che · Luziwei Leng · Kaixuan Zhang · Jianguo Zhang · Qinghu Meng · Jie Cheng · Qinghai Guo · Jianxing Liao
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Poster
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Equivariant Graph Hierarchy-Based Neural Networks
Jiaqi Han · Wenbing Huang · Tingyang Xu · Yu Rong
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Poster
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Thu 9:00
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Unsupervised Learning for Combinatorial Optimization with Principled Objective Relaxation
Haoyu Peter Wang · Nan Wu · Hang Yang · Cong Hao · Pan Li
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Poster
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Tue 9:00
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SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks
Davide Buffelli · Pietro Lió · Fabio Vandin
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Poster
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Thu 9:00
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High-Order Pooling for Graph Neural Networks with Tensor Decomposition
Chenqing Hua · Guillaume Rabusseau · Jian Tang
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Workshop
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Equivariant Graph Hierarchy-based Neural Networks
Jiaqi Han · Yu Rong · Tingyang Xu · Wenbing Huang
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Poster
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Wed 9:00
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Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs
Seiji Maekawa · Koki Noda · Yuya Sasaki · makoto onizuka
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Workshop
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Improving Classification and Data Imputation for Single-Cell Transcriptomics with Graph Neural Networks
Han-Bo Li · Ramon Viñas Torné · Pietro Lió
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