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Workshop
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Tiny Graph Convolutional Networks with Topologically Consistent Magnitude Pruning
Hichem SAHBI
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Workshop
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QDC: Quantum Diffusion Convolution Kernels on Graphs
Thomas Markovich
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Poster
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Thu 8:45
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FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
Yuhang Yao · Weizhao Jin · Srivatsan Ravi · Carlee Joe-Wong
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Workshop
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On the modelling and impact of negative edges in graph convolutional networks for node classification
Thu Trang Dinh · Julia Handl · Luis Ospina-Forero
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Poster
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Wed 15:00
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Graph Convolutional Kernel Machine versus Graph Convolutional Networks
Zhihao Wu · Zhao Zhang · Jicong Fan
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Poster
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Tue 8:45
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Penguin: Parallel-Packed Homomorphic Encryption for Fast Graph Convolutional Network Inference
Ran Ran · Nuo Xu · Tao Liu · Wei Wang · Gang Quan · Wujie Wen
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Poster
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Wed 15:00
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Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Eli Chien · Wei-Ning Chen · Chao Pan · Pan Li · Ayfer Ozgur · Olgica Milenkovic
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Workshop
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ResolvNet: A Graph Convolutional Network with multi-scale Consistency
Christian Koke · Abhishek Saroha · Yuesong Shen · Marvin Eisenberger · Daniel Cremers
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Workshop
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HoloNets: Spectral Convolutions do extend to Directed Graphs
Christian Koke · Daniel Cremers
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Poster
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Tue 15:15
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Implicit Convolutional Kernels for Steerable CNNs
Maksim Zhdanov · Nico Hoffmann · Gabriele Cesa
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Poster
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Tue 8:45
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LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Hongwu Peng · Ran Ran · Yukui Luo · Jiahui Zhao · Shaoyi Huang · Kiran Thorat · Tong Geng · Chenghong Wang · Xiaolin Xu · Wujie Wen · Caiwen Ding
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Workshop
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Hit Expansion Driven By Machine Learning
Jin Xu · Steven Kearnes · JW Feng
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