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03EkqSCKuO | Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks | main | Active | graph representation learning;long-range propagation;ordinary differential equations | learning on graphs and other geometries & topologies | 5;6;8 | 2;3;3 | 2;4;4 | 2;2;3 | 3;3;3 | 6.333333 | 2.666667 | 3.333333 | 2.333333 | 3 | 0.755929 | [{"TLDR":null,"_bibtex":null,"abstract":null,"anonymous_url":null,"authorids":null,"authors":null,"c(...TRUNCATED) | |||||||
03OkC0LKDD | The Vital Role of Gradient Clipping in Byzantine-Resilient Distributed Learning | main | Active | Byzantine resilience;distributed machine learning | optimization | 3;5;6;6 | 4;3;5;3 | 1;2;2;3 | 2;3;4;3 | 3;3;3;3 | 5 | 3.75 | 2 | 3 | 3 | 0 | [{"TLDR":null,"_bibtex":null,"abstract":null,"anonymous_url":null,"authorids":null,"authors":null,"c(...TRUNCATED) |
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