Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Shen, Xu, Wang, Yili, Zhou, Kaixiong, Pan, Shirui, Wang, Xin |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
por: Wang, Yili, et al.
Publicado: (2024)
por: Wang, Yili, et al.
Publicado: (2024)
Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
por: Shen, Xu, et al.
Publicado: (2025)
por: Shen, Xu, et al.
Publicado: (2025)
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
por: Wang, Yili, et al.
Publicado: (2024)
por: Wang, Yili, et al.
Publicado: (2024)
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
por: Miao, Rui, et al.
Publicado: (2024)
por: Miao, Rui, et al.
Publicado: (2024)
GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
por: Xu, Haoyan, et al.
Publicado: (2025)
por: Xu, Haoyan, et al.
Publicado: (2025)
Graph Defense Diffusion Model
por: He, Xin, et al.
Publicado: (2025)
por: He, Xin, et al.
Publicado: (2025)
Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias
por: He, Xin, et al.
Publicado: (2024)
por: He, Xin, et al.
Publicado: (2024)
A Label-Free Heterophily-Guided Approach for Unsupervised Graph Fraud Detection
por: Pan, Junjun, et al.
Publicado: (2025)
por: Pan, Junjun, et al.
Publicado: (2025)
Bridging OOD Detection and Generalization: A Graph-Theoretic View
por: Wang, Han, et al.
Publicado: (2024)
por: Wang, Han, et al.
Publicado: (2024)
Test-time GNN Model Evaluation on Dynamic Graphs
por: Li, Bo, et al.
Publicado: (2025)
por: Li, Bo, et al.
Publicado: (2025)
Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
por: He, Xin, et al.
Publicado: (2025)
por: He, Xin, et al.
Publicado: (2025)
MetaOOD: Automatic Selection of OOD Detection Models
por: Qin, Yuehan, et al.
Publicado: (2024)
por: Qin, Yuehan, et al.
Publicado: (2024)
Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
por: Wang, Yili
Publicado: (2024)
por: Wang, Yili
Publicado: (2024)
FedCIGAR: A Personalized Reconstruction Approach for Federated Graph-level Anomaly Detection
por: Zhao, Yunfeng, et al.
Publicado: (2026)
por: Zhao, Yunfeng, et al.
Publicado: (2026)
Enhancing OOD Detection Using Latent Diffusion
por: Gao, Heng, et al.
Publicado: (2024)
por: Gao, Heng, et al.
Publicado: (2024)
OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction
por: Wang, Xin, et al.
Publicado: (2026)
por: Wang, Xin, et al.
Publicado: (2026)
GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models
por: He, Zhixia, et al.
Publicado: (2024)
por: He, Zhixia, et al.
Publicado: (2024)
From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection
por: Wang, Luzhi, et al.
Publicado: (2026)
por: Wang, Luzhi, et al.
Publicado: (2026)
Adaptive Tokenization: On the Hop-Overpriority Problem in Tokenized Graph Learning Models
por: Wang, Zhibiao, et al.
Publicado: (2025)
por: Wang, Zhibiao, et al.
Publicado: (2025)
Rethinking Feature Alignment in Generalist Graph Anomaly Detection: A Relational Fingerprint-based Approach
por: Liu, Yujing, et al.
Publicado: (2026)
por: Liu, Yujing, et al.
Publicado: (2026)
FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
por: Zhao, Yunfeng, et al.
Publicado: (2025)
por: Zhao, Yunfeng, et al.
Publicado: (2025)
Collaborative Expert LLMs Guided Multi-Objective Molecular Optimization
por: Yu, Jiajun, et al.
Publicado: (2025)
por: Yu, Jiajun, et al.
Publicado: (2025)
Out-of-Distribution Detection on Graphs: A Survey
por: Cai, Tingyi, et al.
Publicado: (2025)
por: Cai, Tingyi, et al.
Publicado: (2025)
Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling
por: He, Xin, et al.
Publicado: (2025)
por: He, Xin, et al.
Publicado: (2025)
Graph Neural Networks for Graphs with Heterophily: A Survey
por: Zheng, Xin, et al.
Publicado: (2022)
por: Zheng, Xin, et al.
Publicado: (2022)
What If the Input is Expanded in OOD Detection?
por: Zhang, Boxuan, et al.
Publicado: (2024)
por: Zhang, Boxuan, et al.
Publicado: (2024)
Kriformer: A Novel Spatiotemporal Kriging Approach Based on Graph Transformers
por: Pan, Renbin, et al.
Publicado: (2024)
por: Pan, Renbin, et al.
Publicado: (2024)
A Comprehensive Survey of Synthetic Tabular Data Generation
por: Shi, Ruxue, et al.
Publicado: (2025)
por: Shi, Ruxue, et al.
Publicado: (2025)
Gradient-based Model Shortcut Detection for Time Series Classification
por: Ibarra, Salomon, et al.
Publicado: (2025)
por: Ibarra, Salomon, et al.
Publicado: (2025)
Decision-focused Graph Neural Networks for Combinatorial Optimization
por: Liu, Yang, et al.
Publicado: (2024)
por: Liu, Yang, et al.
Publicado: (2024)
Evidential Spectrum-Aware Contrastive Learning for OOD Detection in Dynamic Graphs
por: Sun, Nan, et al.
Publicado: (2025)
por: Sun, Nan, et al.
Publicado: (2025)
Spiking Graph Predictive Coding for Reliable OOD Generalization
por: Ren, Jing, et al.
Publicado: (2026)
por: Ren, Jing, et al.
Publicado: (2026)
Online GNN Evaluation Under Test-time Graph Distribution Shifts
por: Zheng, Xin, et al.
Publicado: (2024)
por: Zheng, Xin, et al.
Publicado: (2024)
Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach
por: Gupta, Mohit, et al.
Publicado: (2024)
por: Gupta, Mohit, et al.
Publicado: (2024)
Bridging Molecular Graphs and Large Language Models
por: Wang, Runze, et al.
Publicado: (2025)
por: Wang, Runze, et al.
Publicado: (2025)
Robust OOD Graph Learning via Mean Constraints and Noise Reduction
por: Zhou, Yang, et al.
Publicado: (2025)
por: Zhou, Yang, et al.
Publicado: (2025)
$Δ\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
por: Zhu, Lin, et al.
Publicado: (2025)
por: Zhu, Lin, et al.
Publicado: (2025)
Uncertainty-Aware Graph Neural Networks: A Multi-Hop Evidence Fusion Approach
por: Chen, Qingfeng, et al.
Publicado: (2025)
por: Chen, Qingfeng, et al.
Publicado: (2025)
LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models
por: Zhu, Xi, et al.
Publicado: (2025)
por: Zhu, Xi, et al.
Publicado: (2025)
GOODAT: Towards Test-time Graph Out-of-Distribution Detection
por: Wang, Luzhi, et al.
Publicado: (2024)
por: Wang, Luzhi, et al.
Publicado: (2024)
Ejemplares similares
-
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
por: Wang, Yili, et al.
Publicado: (2024) -
Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
por: Shen, Xu, et al.
Publicado: (2025) -
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
por: Wang, Yili, et al.
Publicado: (2024) -
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
por: Miao, Rui, et al.
Publicado: (2024) -
GLIP-OOD: Zero-Shot Graph OOD Detection with Graph Foundation Model
por: Xu, Haoyan, et al.
Publicado: (2025)