Synthetic Data for Blood Vessel Network Extraction.
CoRR, April, 2025
Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks.
CoRR, February, 2025
CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Flood and Echo: Algorithmic Alignment of GNNs with Distributed Computing.
CoRR, 2023
SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning.
CoRR, 2023
Visual Abstraction and Reasoning through Language.
CoRR, 2023
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics.
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023
Abstract Visual Reasoning Enabled by Language.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Learning Graph Algorithms With Recurrent Graph Neural Networks.
CoRR, 2022
Hierarchical Graph Structures for Congestion and ETA Prediction.
CoRR, 2022
Decentralized Graph Processing for Reachability Queries.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022
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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Proceedings of the NeurIPS 2022 Competition Track, 2021