Copertina

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Song, Yudan, Wei, Yuecen, Lu, Yuhang, Sun, Qingyun, Shao, Minglai, Wang, Li-e, Hu, Chunming, Li, Xianxian, Fu, Xingcheng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Social and Information Networks
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
di: Wei, Yuecen, et al.
Pubblicazione: (2023)

Prompt-based Unifying Inference Attack on Graph Neural Networks
di: Wei, Yuecen, et al.
Pubblicazione: (2024)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation
di: Fu, Xingcheng, et al.
Pubblicazione: (2024)

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks
di: Wang, Jinyan, et al.
Pubblicazione: (2025)

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
di: Gao, Yisen, et al.
Pubblicazione: (2025)

Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
di: Luo, Jiayi, et al.
Pubblicazione: (2025)

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks
di: Wang, Yumeng, et al.
Pubblicazione: (2025)

Discrete Curvature Graph Information Bottleneck
di: Fu, Xingcheng, et al.
Pubblicazione: (2024)

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck
di: Fu, Xingcheng, et al.
Pubblicazione: (2024)

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
di: Zhao, Xinyu, et al.
Pubblicazione: (2026)

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
di: Fu, Xingcheng, et al.
Pubblicazione: (2026)

Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning
di: Huang, Yi, et al.
Pubblicazione: (2026)

Dual-channel Heterophilic Message Passing for Graph Fraud Detection
di: Zhang, Wenxin, et al.
Pubblicazione: (2025)

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
di: Guo, Zihao, et al.
Pubblicazione: (2024)

Dynamic Graph Information Bottleneck
di: Yuan, Haonan, et al.
Pubblicazione: (2024)

Robust Graph Condensation via Classification Complexity Mitigation
di: Luo, Jiayi, et al.
Pubblicazione: (2025)

SA$^{2}$GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation
di: Shi, Junhua, et al.
Pubblicazione: (2025)

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation
di: Yuan, Haonan, et al.
Pubblicazione: (2026)

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning
di: Qin, Jiawen, et al.
Pubblicazione: (2024)

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
di: Luo, Jiayi, et al.
Pubblicazione: (2025)

Partitioning Message Passing for Graph Fraud Detection
di: Zhuo, Wei, et al.
Pubblicazione: (2024)

Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model
di: Gao, Yisen, et al.
Pubblicazione: (2025)

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing
di: Qin, Jiawen, et al.
Pubblicazione: (2024)

Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models
di: Yuan, Haonan, et al.
Pubblicazione: (2026)

Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection
di: Yang, Zhiwei, et al.
Pubblicazione: (2024)

GRAVER: Generative Graph Vocabularies for Robust Graph Foundation Models Fine-tuning
di: Yuan, Haonan, et al.
Pubblicazione: (2025)

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
di: Guo, Zihao, et al.
Pubblicazione: (2025)

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
di: Gao, Yisen, et al.
Pubblicazione: (2025)

Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments
di: Sun, Qingyun, et al.
Pubblicazione: (2025)

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
di: Luo, Jiayi, et al.
Pubblicazione: (2025)

DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs
di: Li, Yuan, et al.
Pubblicazione: (2025)

Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
di: Chu, Yunlong, et al.
Pubblicazione: (2025)

Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
di: Yin, Tao, et al.
Pubblicazione: (2025)

Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA Graph
di: Xu, Zequan, et al.
Pubblicazione: (2023)

Retrieving Minimal and Sufficient Reasoning Subgraphs with Graph Foundation Models for Path-aware GraphRAG
di: Yuan, Haonan, et al.
Pubblicazione: (2026)

LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs
di: Ma, Xiaoxu, et al.
Pubblicazione: (2026)

Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously
di: Li, Dong, et al.
Pubblicazione: (2024)

Graph Bayesian Optimization for Multiplex Influence Maximization
di: Yuan, Zirui, et al.
Pubblicazione: (2024)

Graph-Based Fraud Detection with Dual-Path Graph Filtering
di: He, Wei, et al.
Pubblicazione: (2026)

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding
di: Chen, Tianyu, et al.
Pubblicazione: (2025)