conftrace_

dirichlet energy

11 papers

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DE

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graph neural network (6) message passing (2) optimal transport (2) graph laplacian (2) variational method (1) node correspondence (1) surface optimization (1) shape space (1) mean curvature motion (1) levenberg-marquardt method (1)

Papers

Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees AAAI 2026 Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport AAAI 2025 TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation ICML 2025 A Fractional Graph Laplacian Approach to Oversmoothing NeurIPS 2023 A Unified Framework for Optimization-Based Graph Coarsening JMLR 2023 Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy NeurIPS 2023 Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks ICLR 2023 Regularize Implicit Neural Representation by Itself CVPR 2023 Why neural networks find simple solutions: The many regularizers of geometric complexity NeurIPS 2022 Dirichlet Energy Constrained Learning for Deep Graph Neural Networks NeurIPS 2021 Second-Order Shape Optimization for Geometric Inverse Problems in Vision CVPR 2014