Yusu Wang

Venues

Frequent coauthors

Papers

1. Graph neural networks extrapolate out-of-distribution for shortest paths
   COLT 2026 ·

   Robert R. Nerem

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2. De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
   ICML 2025 ·

   Samantha Chen

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3. Differentiable extensions with rounding guarantees for combinatorial optimization over permutations
   NeurIPS 2025 ·

   Robert R. Nerem

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4. Effective Neural Approximations for Geometric Optimization Problems
   NeurIPS 2025 ·

   Samantha Chen

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5. Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers
   ICML 2025 ·

   Zhengchao Wan

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6. Explaining GNN Explanations with Edge Gradients
   SIGKDD 2025 ·

   Jesse He

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7. Comparing Graph Transformers via Positional Encodings
   ICML 2024 ·

   Mitchell Black

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8. DE-HNN: An effective neural model for Circuit Netlist representation
   AISTATS 2024 ·

   Zhishang Luo

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9. Learning Ultrametric Trees for Optimal Transport Regression
   AAAI 2024 ·

   Samantha Chen

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10. NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem
    AAAI 2024 ·

    Andrew B. Kahng

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11. On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers
    AISTATS 2024 ·

    Cai Zhou

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12. Position: Topological Deep Learning is the New Frontier for Relational Learning
    ICML 2024 ·

    Theodore Papamarkou

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