Yusu Wang

Graph neural networks extrapolate out-of-distribution for shortest paths COLT 2026 De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs ICML 2025 Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers ICML 2025 Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025 Comparing Graph Transformers via Positional Encodings ICML 2024 DE-HNN: An effective neural model for Circuit Netlist representation AISTATS 2024 Distances for Markov Chains, and Their Differentiation ALT 2024 Learning Ultrametric Trees for Optimal Transport Regression AAAI 2024 NN-Steiner: A Mixed Neural-Algorithmic Approach for the Rectilinear Steiner Minimum Tree Problem AAAI 2024 On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers AISTATS 2024 Position: Topological Deep Learning is the New Frontier for Relational Learning ICML 2024 Universal Representation of Permutation-Invariant Functions on Vectors and Tensors ALT 2024 Implicit Graphon Neural Representation AISTATS 2023 Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions NeurIPS 2023 On the Connection Between MPNN and Graph Transformer ICML 2023 The Numerical Stability of Hyperbolic Representation Learning ICML 2023 Understanding Oversquashing in GNNs through the Lens of Effective Resistance ICML 2023 Convergence of Invariant Graph Networks ICML 2022 Generative Coarse-Graining of Molecular Conformations ICML 2022 Neural Approximation of Graph Topological Features NeurIPS 2022 Weisfeiler-Lehman Meets Gromov-Wasserstein ICML 2022 Graph Coarsening with Neural Networks ICLR 2021 NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs NeurIPS 2021 Topology-Aware Segmentation Using Discrete Morse Theory ICLR 2021 Persistence Enhanced Graph Neural Network AISTATS 2020 A Topological Regularizer for Classifiers via Persistent Homology AISTATS 2019 Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction IJCAI 2019 Learning metrics for persistence-based summaries and applications for graph classification NeurIPS 2019 Unperturbed: spectral analysis beyond Davis-Kahan ALT 2018 Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data ICML 2017 Graphons, mergeons, and so on! NeurIPS 2016 Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering COLT 2015 Learning with Fredholm Kernels NeurIPS 2014 Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries COLT 2012 Data Skeletonization via Reeb Graphs NeurIPS 2011