SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps
Fuente:
arXiv
Saved in:
| Main Authors: | Gu, Jiawei, Qiao, Ziyue, Li, Zechao |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
Out-of-Distribution Graph Models Merging
by: Wang, Yidi, et al.
Published: (2025)
by: Wang, Yidi, et al.
Published: (2025)
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
by: Wang, Yili, et al.
Published: (2024)
by: Wang, Yili, et al.
Published: (2024)
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
by: Ding, Zhihao, et al.
Published: (2023)
by: Ding, Zhihao, et al.
Published: (2023)
Quantifying the Generalization Gap: A New Benchmark for Out-of-Distribution Graph-Based Android Malware Classification
by: Tran, Ngoc N., et al.
Published: (2025)
by: Tran, Ngoc N., et al.
Published: (2025)
Disentangling the Spectral Properties of the Hodge Laplacian: Not All Small Eigenvalues Are Equal
by: Grande, Vincent P., et al.
Published: (2023)
by: Grande, Vincent P., et al.
Published: (2023)
Out-of-Distribution Detection on Graphs: A Survey
by: Cai, Tingyi, et al.
Published: (2025)
by: Cai, Tingyi, et al.
Published: (2025)
Disentangled Graph Prompting for Out-Of-Distribution Detection
by: Yang, Cheng, et al.
Published: (2026)
by: Yang, Cheng, et al.
Published: (2026)
Distributional Spectral Diagnostics for Localizing Grokking Transitions
by: Wang, Ziyue, et al.
Published: (2026)
by: Wang, Ziyue, et al.
Published: (2026)
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
by: Wang, Danny, et al.
Published: (2025)
by: Wang, Danny, et al.
Published: (2025)
Restricted Spectral Gap Decomposition for Simulated Tempering Targeting Mixture Distributions
by: Garg, Jhanvi, et al.
Published: (2025)
by: Garg, Jhanvi, et al.
Published: (2025)
Enabling Tensor Decomposition for Time-Series Classification via A Simple Pseudo-Laplacian Contrast
by: Li, Man, et al.
Published: (2024)
by: Li, Man, et al.
Published: (2024)
Sparsity and Out-of-Distribution Generalization
by: Aaronson, Scott, et al.
Published: (2026)
by: Aaronson, Scott, et al.
Published: (2026)
Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
by: Yin, Tao, et al.
Published: (2025)
by: Yin, Tao, et al.
Published: (2025)
Principled Out-of-Distribution Generalization via Simplicity
by: Ge, Jiawei, et al.
Published: (2025)
by: Ge, Jiawei, et al.
Published: (2025)
Few-Shot Graph Out-of-Distribution Detection with LLMs
by: Xu, Haoyan, et al.
Published: (2025)
by: Xu, Haoyan, et al.
Published: (2025)
Predicting the Performance of Graph Convolutional Networks with Spectral Properties of the Graph Laplacian
by: Manir, Shalima Binta, et al.
Published: (2025)
by: Manir, Shalima Binta, et al.
Published: (2025)
Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries
by: Hou, Yue, et al.
Published: (2025)
by: Hou, Yue, et al.
Published: (2025)
GCAL: Adapting Graph Models to Evolving Domain Shifts
by: Qiao, Ziyue, et al.
Published: (2025)
by: Qiao, Ziyue, et al.
Published: (2025)
Redundancy-Aware Test-Time Graph Out-of-Distribution Detection
by: Hou, Yue, et al.
Published: (2025)
by: Hou, Yue, et al.
Published: (2025)
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
by: Hou, Yue, et al.
Published: (2025)
by: Hou, Yue, et al.
Published: (2025)
Mitigating the Modality Gap: Few-Shot Out-of-Distribution Detection with Multi-modal Prototypes and Image Bias Estimation
by: Wang, Yimu, et al.
Published: (2025)
by: Wang, Yimu, et al.
Published: (2025)
Resolving Node Identifiability in Graph Neural Processes via Laplacian Spectral Encodings
by: Yan, Zimo, et al.
Published: (2025)
by: Yan, Zimo, et al.
Published: (2025)
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report
by: Ding, Haipeng, et al.
Published: (2025)
by: Ding, Haipeng, et al.
Published: (2025)
Out-of-Distribution Generalization on Graphs via Progressive Inference
by: Xu, Yiming, et al.
Published: (2025)
by: Xu, Yiming, et al.
Published: (2025)
EPA: Neural Collapse Inspired Robust Out-of-Distribution Detector
by: Zhang, Jiawei, et al.
Published: (2024)
by: Zhang, Jiawei, et al.
Published: (2024)
Beyond the Laplacian: Interpolated Spectral Augmentation for Graph Neural Networks
by: Cui, Ziyao, et al.
Published: (2025)
by: Cui, Ziyao, et al.
Published: (2025)
Out-of-Distribution Detection in Molecular Complexes via Diffusion Models for Irregular Graphs
by: Graber, David, et al.
Published: (2025)
by: Graber, David, et al.
Published: (2025)
What Information Matters? Graph Out-of-Distribution Detection via Tri-Component Information Decomposition
by: Wang, Danny, et al.
Published: (2026)
by: Wang, Danny, et al.
Published: (2026)
Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection
by: Li, Hengzhuang, et al.
Published: (2025)
by: Li, Hengzhuang, et al.
Published: (2025)
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
by: Lu, Kangkang, et al.
Published: (2024)
by: Lu, Kangkang, et al.
Published: (2024)
Manifolds, Random Matrices and Spectral Gaps: The geometric phases of generative diffusion
by: Ventura, Enrico, et al.
Published: (2024)
by: Ventura, Enrico, et al.
Published: (2024)
Out-of-Distribution Generalization in Graph Foundation Models
by: Li, Haoyang, et al.
Published: (2026)
by: Li, Haoyang, et al.
Published: (2026)
Invariant Graph Transformer for Out-of-Distribution Generalization
by: Liao, Tianyin, et al.
Published: (2025)
by: Liao, Tianyin, et al.
Published: (2025)
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs
by: Liu, Bowen, et al.
Published: (2024)
by: Liu, Bowen, et al.
Published: (2024)
No-Regret Linear Bandits under Gap-Adjusted Misspecification
by: Liu, Chong, et al.
Published: (2025)
by: Liu, Chong, et al.
Published: (2025)
EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs
by: Ettori, Davide, et al.
Published: (2025)
by: Ettori, Davide, et al.
Published: (2025)
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency
by: Chen, Xuexin, et al.
Published: (2024)
by: Chen, Xuexin, et al.
Published: (2024)
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
by: Wang, Luzhi, et al.
Published: (2024)
by: Wang, Luzhi, et al.
Published: (2024)
Similar Items
-
Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
by: Gu, Jiawei, et al.
Published: (2025) -
Out-of-Distribution Graph Models Merging
by: Wang, Yidi, et al.
Published: (2025) -
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
by: Gu, Jiawei, et al.
Published: (2025) -
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
by: Wang, Yili, et al.
Published: (2024) -
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
by: Ding, Zhihao, et al.
Published: (2023)