conftrace_

laplacian smoothing

6 papers

Explore in graph

Co-occurring keywords · papers mentioning both

graph neural network (3) graph convolutional network (2) sobolev space (2) robust training (1) graph-based method (1) attributed graph (1) feature propagation (1) function estimation (1) lipschitz bound (1) provable robustness (1)

Papers

Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NeurIPS 2024 Scalable Attributed-Graph Subspace Clustering AAAI 2023 Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs AISTATS 2021 Lipschitz Bounds and Provably Robust Training by Laplacian Smoothing NeurIPS 2020 Rethinking Knowledge Graph Propagation for Zero-Shot Learning CVPR 2019 Total Variation Classes Beyond 1d: Minimax Rates, and the Limitations of Linear Smoothers NeurIPS 2016