Saved in:
| Main Authors: | Gjorgjevski, Martin, Keriven, Nicolas, Barthelmé, Simon, De Castro, Yohann |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.21987 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
by: Keriven, Nicolas
Published: (2025)
by: Keriven, Nicolas
Published: (2025)
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
by: Cordonnier, Matthieu, et al.
Published: (2023)
by: Cordonnier, Matthieu, et al.
Published: (2023)
Graph Coarsening with Message-Passing Guarantees
by: Joly, Antonin, et al.
Published: (2024)
by: Joly, Antonin, et al.
Published: (2024)
Taxonomy of reduction matrices for Graph Coarsening
by: Joly, Antonin, et al.
Published: (2025)
by: Joly, Antonin, et al.
Published: (2025)
Statistical Consistency of Discrete-to-Continuous Limits of Determinantal Point Processes
by: Jaquard, Hugo, et al.
Published: (2026)
by: Jaquard, Hugo, et al.
Published: (2026)
Efficient training for compact compression models via sequential distillation
by: Rodrigues, Caroline Mazini, et al.
Published: (2026)
by: Rodrigues, Caroline Mazini, et al.
Published: (2026)
Effective regions and kernels in continuous sparse regularisation, with application to sketched mixtures
by: De Castro, Yohann, et al.
Published: (2025)
by: De Castro, Yohann, et al.
Published: (2025)
Fast Spawn\&Prune (FS\&P): Global convergence of stochastic conic particle gradient descent via birth/death process
by: De Castro, Yohann, et al.
Published: (2026)
by: De Castro, Yohann, et al.
Published: (2026)
FastPart: Over-Parameterized Stochastic Gradient Descent for Sparse optimisation on Measures
by: De Castro, Yohann, et al.
Published: (2023)
by: De Castro, Yohann, et al.
Published: (2023)
Graph Attention Network for Node Regression on Random Geometric Graphs with Erdős--Rényi contamination
by: Laha, Somak, et al.
Published: (2026)
by: Laha, Somak, et al.
Published: (2026)
Gaussian Mixture Model with unknown diagonal covariances via continuous sparse regularization
by: Giard, Romane, et al.
Published: (2025)
by: Giard, Romane, et al.
Published: (2025)
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning
by: Liu, Yunhui, et al.
Published: (2024)
by: Liu, Yunhui, et al.
Published: (2024)
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
by: Qin, Zhenyue, et al.
Published: (2021)
by: Qin, Zhenyue, et al.
Published: (2021)
Random Forest Weighted Local Fréchet Regression with Random Objects
by: Qiu, Rui, et al.
Published: (2022)
by: Qiu, Rui, et al.
Published: (2022)
Global-Local Graph Neural Networks for Node-Classification
by: Eliasof, Moshe, et al.
Published: (2024)
by: Eliasof, Moshe, et al.
Published: (2024)
Symbolic Regression via Latent Iterative Refinement
by: Chu, Xieting, et al.
Published: (2026)
by: Chu, Xieting, et al.
Published: (2026)
iN2V: Bringing Transductive Node Embeddings to Inductive Graphs
by: Lell, Nicolas, et al.
Published: (2025)
by: Lell, Nicolas, et al.
Published: (2025)
The Effects of Randomness on the Stability of Node Embeddings
by: Schumacher, Tobias, et al.
Published: (2020)
by: Schumacher, Tobias, et al.
Published: (2020)
Probabilistic Graph Rewiring via Virtual Nodes
by: Qian, Chendi, et al.
Published: (2024)
by: Qian, Chendi, et al.
Published: (2024)
Transfer Learning Under High-Dimensional Graph Convolutional Regression Model for Node Classification
by: Chen, Jiachen, et al.
Published: (2024)
by: Chen, Jiachen, et al.
Published: (2024)
Landmark-Based Node Representations for Shortest Path Distance Approximations in Random Graphs
by: Le, My, et al.
Published: (2025)
by: Le, My, et al.
Published: (2025)
Enhancing Node-Level Graph Domain Adaptation by Alleviating Local Dependency
by: Tai, Xinwei, et al.
Published: (2025)
by: Tai, Xinwei, et al.
Published: (2025)
Local Virtual Nodes for Alleviating Over-Squashing in Graph Neural Networks
by: Karabulut, Tuğrul Hasan, et al.
Published: (2025)
by: Karabulut, Tuğrul Hasan, et al.
Published: (2025)
Random Multi-Type Spanning Forests for Synchronization on Sparse Graphs
by: Jaquard, Hugo, et al.
Published: (2024)
by: Jaquard, Hugo, et al.
Published: (2024)
Second Maximum of a Gaussian Random Field and Exact (t-)Spacing test
by: Azaïs, Jean-Marc, et al.
Published: (2024)
by: Azaïs, Jean-Marc, et al.
Published: (2024)
ReModels: Quantile Regression Averaging models
by: Zakrzewski, Grzegorz, et al.
Published: (2024)
by: Zakrzewski, Grzegorz, et al.
Published: (2024)
Average-DICE: Stationary Distribution Correction by Regression
by: Che, Fengdi, et al.
Published: (2025)
by: Che, Fengdi, et al.
Published: (2025)
Average Certified Radius is a Poor Metric for Randomized Smoothing
by: Sun, Chenhao, et al.
Published: (2024)
by: Sun, Chenhao, et al.
Published: (2024)
Investigating GNN Convergence on Large Randomly Generated Graphs with Realistic Node Feature Correlations
by: Ahmed, Mohammed Zain Ali
Published: (2026)
by: Ahmed, Mohammed Zain Ali
Published: (2026)
Robust Regression over Averaged Uncertainty
by: Bertsimas, Dimitris, et al.
Published: (2023)
by: Bertsimas, Dimitris, et al.
Published: (2023)
BuffGraph: Enhancing Class-Imbalanced Node Classification via Buffer Nodes
by: Wang, Qian, et al.
Published: (2024)
by: Wang, Qian, et al.
Published: (2024)
DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification
by: Li, Chenyang, et al.
Published: (2025)
by: Li, Chenyang, et al.
Published: (2025)
PROVCREATOR: Synthesizing Complex Heterogenous Graphs with Node and Edge Attributes
by: Wang, Tianhao, et al.
Published: (2025)
by: Wang, Tianhao, et al.
Published: (2025)
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
by: Cheng, Le, et al.
Published: (2024)
by: Cheng, Le, et al.
Published: (2024)
Graph-based Semi-supervised Local Clustering with Few Labeled Nodes
by: Shen, Zhaiming, et al.
Published: (2022)
by: Shen, Zhaiming, et al.
Published: (2022)
Heterogeneous Multisource Transfer Learning via Model Averaging for Positive-Unlabeled Data
by: Liu, Jialei, et al.
Published: (2025)
by: Liu, Jialei, et al.
Published: (2025)
Leveraging Non-linear Dimension Reduction and Random Walk Co-occurrence for Node Embedding
by: DeWolfe, Ryan
Published: (2026)
by: DeWolfe, Ryan
Published: (2026)
Robust Node Affinities via Jaccard-Biased Random Walks and Rank Aggregation
by: Pfeifer, Bastian, et al.
Published: (2026)
by: Pfeifer, Bastian, et al.
Published: (2026)
Node Classification in Random Trees
by: Nuijten, Wouter W. L., et al.
Published: (2023)
by: Nuijten, Wouter W. L., et al.
Published: (2023)
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification
by: Chen, Jinsong, et al.
Published: (2024)
by: Chen, Jinsong, et al.
Published: (2024)
Similar Items
-
Backward Oversmoothing: why is it hard to train deep Graph Neural Networks?
by: Keriven, Nicolas
Published: (2025) -
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
by: Cordonnier, Matthieu, et al.
Published: (2023) -
Graph Coarsening with Message-Passing Guarantees
by: Joly, Antonin, et al.
Published: (2024) -
Taxonomy of reduction matrices for Graph Coarsening
by: Joly, Antonin, et al.
Published: (2025) -
Statistical Consistency of Discrete-to-Continuous Limits of Determinantal Point Processes
by: Jaquard, Hugo, et al.
Published: (2026)