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Joël Mathys

GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs

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Aug 20, 2024
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CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs

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Feb 09, 2024
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SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics

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Nov 20, 2023
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Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing

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Oct 12, 2023
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SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning

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Sep 21, 2023
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Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors

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Mar 14, 2023
Figure 1 for Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
Figure 2 for Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
Figure 3 for Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
Figure 4 for Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors
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Visual Abstraction and Reasoning through Language

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Mar 07, 2023
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Learning Graph Algorithms With Recurrent Graph Neural Networks

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Dec 09, 2022
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Hierarchical Graph Structures for Congestion and ETA Prediction

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Nov 21, 2022
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