Cover Image

A Deep Learning Framework for Evaluating Dynamic Network Generative Models and Anomaly Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rashnu, Alireza, Aliakbary, Sadegh
Format:	Preprint
Published:	2024
Subjects:	Social and Information Networks Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
by: Lee, Jongha, et al.
Published: (2024)

Multitask Active Learning for Graph Anomaly Detection
by: Chang, Wenjing, et al.
Published: (2024)

Towards Fair Graph Anomaly Detection: Problem, Benchmark Datasets, and Evaluation
by: Neo, Neng Kai Nigel, et al.
Published: (2024)

Integrative Deep Learning Framework for Parkinson's Disease Early Detection using Gait Cycle Data Measured by Wearable Sensors: A CNN-GRU-GNN Approach
by: Rashnu, Alireza, et al.
Published: (2024)

On Evolution-Based Models for Experimentation Under Interference
by: Shirani, Sadegh, et al.
Published: (2025)

Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
by: Xiao, Chunjing, et al.
Published: (2025)

SCALA: Sparsification-based Contrastive Learning for Anomaly Detection on Attributed Networks
by: He, Enbo, et al.
Published: (2024)

Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
by: Dong, Yuxin, et al.
Published: (2024)

Visiting Distant Neighbors in Graph Convolutional Networks
by: Hashemi, Alireza, et al.
Published: (2023)

Hyperedge Anomaly Detection with Hypergraph Neural Network
by: Alam, Md. Tanvir, et al.
Published: (2024)

HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection
by: Fu, Yali, et al.
Published: (2024)

Bi-directional Curriculum Learning for Graph Anomaly Detection: Dual Focus on Homogeneity and Heterogeneity
by: Hao, Yitong, et al.
Published: (2025)

Flex-GAD : Flexible Graph Anomaly Detection
by: Chakraborty, Apu, et al.
Published: (2025)

A Deep Autoregressive Model for Dynamic Combinatorial Complexes
by: Tuna, Ata
Published: (2025)

GNN-based Anomaly Detection for Encoded Network Traffic
by: Chattopadhyay, Anasuya, et al.
Published: (2024)

HLSAD: Hodge Laplacian-based Simplicial Anomaly Detection
by: Frantzen, Florian, et al.
Published: (2025)

Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly Detection
by: Xiao, Chunjing, et al.
Published: (2024)

A Decision-Based Heterogenous Graph Attention Network for Multi-Class Fake News Detection
by: Lakzaei, Batool, et al.
Published: (2025)

A Framework Based on Graph Cellular Automata for Similarity Evaluation in Urban Spatial Networks
by: Wu, Peiru, et al.
Published: (2025)

Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection
by: Xiao, Chunjing, et al.
Published: (2024)

Chi-Square Wavelet Graph Neural Networks for Heterogeneous Graph Anomaly Detection
by: Li, Xiping, et al.
Published: (2025)

PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization
by: Yuan, Ziqi, et al.
Published: (2024)

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
by: Eddin, Ahmad Naser, et al.
Published: (2024)

A Machine Learning Ensemble Model for the Detection of Cyberbullying
by: Alqahtani, Abulkarim Faraj, et al.
Published: (2024)

Deep Learning for Cross-Border Transaction Anomaly Detection in Anti-Money Laundering Systems
by: Yu, Qian, et al.
Published: (2024)

Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple Remedy
by: Kim, Sunwoo, et al.
Published: (2024)

LOSS-GAT: Label Propagation and One-Class Semi-Supervised Graph Attention Network for Fake News Detection
by: Lakzaei, Batool, et al.
Published: (2024)

GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection
by: Zhang, Xiong, et al.
Published: (2026)

CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection
by: Wen, Haomin, et al.
Published: (2025)

A Lightweight Deep Learning-based Model for Ranking Influential Nodes in Complex Networks
by: Ramadhan, Mohammed A., et al.
Published: (2025)

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection
by: Qiao, Hezhe, et al.
Published: (2023)

A Spectral Framework for Evaluating Geodesic Distances Between Graphs
by: Shuvo, Soumen Sikder, et al.
Published: (2024)

Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
by: Nippani, Abhinav, et al.
Published: (2023)

A Spectral Framework for Tracking Communities in Evolving Networks
by: Hume, Jacob, et al.
Published: (2024)

Information propagation dynamics in Deep Graph Networks
by: Gravina, Alessio
Published: (2024)

Structural-Temporal Coupling Anomaly Detection with Dynamic Graph Transformer
by: Zong, Chang, et al.
Published: (2025)

Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks
by: Ko, Yunyong, et al.
Published: (2025)

JiuTian Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
by: Han, Liangzhe, et al.
Published: (2025)

The Graph-Embedded Hazard Model (GEHM): Stochastic Network Survival Dynamics on Economic Graphs
by: Vallarino, Diego
Published: (2025)

Changepoint Detection in Highly-Attributed Dynamic Graphs
by: Penaloza, Emiliano, et al.
Published: (2024)