Image de couverture de livre

Graph Defense Diffusion Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	He, Xin, Fan, Wenqi, Wang, Yili, Liu, Chengyi, Miao, Rui, Juan, Xin, Wang, Xin
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Mamba-Based Graph Convolutional Networks: Tackling Over-smoothing with Selective State Space
par: He, Xin, et autres
Publié: (2025)

Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias
par: He, Xin, et autres
Publié: (2024)

Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling
par: He, Xin, et autres
Publié: (2025)

Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
par: Miao, Rui, et autres
Publié: (2024)

Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models
par: Shen, Xu, et autres
Publié: (2024)

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
par: Wang, Yili, et autres
Publié: (2024)

Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
par: Shen, Xu, et autres
Publié: (2025)

Automatic Self-supervised Learning for Social Recommendations
par: He, Xin, et autres
Publié: (2024)

Score-based Generative Diffusion Models for Social Recommendations
par: Liu, Chengyi, et autres
Publié: (2024)

Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
par: Wang, Yili, et autres
Publié: (2024)

Dynamic Graph Neural Networks for Physiological Based Pharmacokinetic Modeling: A Novel Data Driven Approach to Drug Concentration Prediction
par: Liu, Su, et autres
Publié: (2025)

Linear-Time Graph Neural Networks for Scalable Recommendations
par: Zhang, Jiahao, et autres
Publié: (2024)

Communication-efficient Federated Graph Classification via Generative Diffusion Modeling
par: Wang, Xiuling, et autres
Publié: (2026)

Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
par: Wang, Yili
Publié: (2024)

Inference Attacks Against Graph Generative Diffusion Models
par: Wang, Xiuling, et autres
Publié: (2026)

CrystalICL: Enabling In-Context Learning for Crystal Generation
par: Wang, Ruobing, et autres
Publié: (2025)

Towards Graph Foundation Models: A Transferability Perspective
par: Wang, Yuxiang, et autres
Publié: (2025)

GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
par: Zhang, Fan, et autres
Publié: (2024)

A Comprehensive Survey of Synthetic Tabular Data Generation
par: Shi, Ruxue, et autres
Publié: (2025)

Learn from the Past: A Proxy Guided Adversarial Defense Framework with Self Distillation Regularization
par: Liu, Yaohua, et autres
Publié: (2023)

Robust Learning of Diffusion Models with Extremely Noisy Conditions
par: Chen, Xin, et autres
Publié: (2025)

Out-of-Distribution Generalization in Graph Foundation Models
par: Li, Haoyang, et autres
Publié: (2026)

Input-Adaptive Generative Dynamics in Diffusion Models
par: Xing, Yucheng, et autres
Publié: (2024)

Graph Neural Networks for Graphs with Heterophily: A Survey
par: Zheng, Xin, et autres
Publié: (2022)

How Do Diffusion Models Improve Adversarial Robustness?
par: Yuezhang, Liu, et autres
Publié: (2025)

BIGNet: Pretrained Graph Neural Network for Embedding Semantic, Spatial, and Topological Data in BIM Models
par: Han, Jin, et autres
Publié: (2025)

ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models
par: Xu, Rui, et autres
Publié: (2024)

Towards Subgraph Isomorphism Counting with Graph Kernels
par: Liu, Xin, et autres
Publié: (2024)

Curriculum Graph Machine Learning: A Survey
par: Li, Haoyang, et autres
Publié: (2023)

PrivDiffuser: Privacy-Guided Diffusion Model for Data Obfuscation in Sensor Networks
par: Yang, Xin, et autres
Publié: (2024)

OOD-GraphLLM: Graph Large Language Model for Out-of-Distribution Generalized Drug Synergy Prediction
par: Wang, Xin, et autres
Publié: (2026)

Graph Unlearning with Efficient Partial Retraining
par: Zhang, Jiahao, et autres
Publié: (2024)

GraphFusionSBR: Denoising Multi-Channel Graphs for Session-Based Recommendation
par: He, Jia-Xin, et autres
Publié: (2026)

A Unified Graph Language Model for Multi-Domain Multi-Task Graph Alignment Instruction Tuning
par: Chen, Haibo, et autres
Publié: (2026)

Simple and Efficient Heterogeneous Temporal Graph Neural Network
par: Wang, Yili, et autres
Publié: (2025)

Test-time GNN Model Evaluation on Dynamic Graphs
par: Li, Bo, et autres
Publié: (2025)

N-Tree Diffusion for Long-Horizon Wildfire Risk Forecasting
par: Xing, Yucheng, et autres
Publié: (2026)

A Survey of Mamba
par: Qu, Haohao, et autres
Publié: (2024)

Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks
par: Wei, Jianjun, et autres
Publié: (2024)

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks
par: Maurya, Sunil Kumar, et autres
Publié: (2026)