Emergence and causality in complex systems: A survey of causal emergence and related quantitative studies
Emergence and causality are two fundamental concepts for understanding complex
systems. They are interconnected. On one hand, emergence refers to the phenomenon …
systems. They are interconnected. On one hand, emergence refers to the phenomenon …
Federated Graph Anomaly Detection via Contrastive Self-Supervised Learning
Attribute graph anomaly detection aims to identify nodes that significantly deviate from the
majority of normal nodes, and has received increasing attention due to the ubiquity and …
majority of normal nodes, and has received increasing attention due to the ubiquity and …
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey
This survey paper presents a comprehensive and conceptual overview of anomaly detection
using dynamic graphs. We focus on existing graph-based anomaly detection (AD) …
using dynamic graphs. We focus on existing graph-based anomaly detection (AD) …
An exploratory study on human-centric video anomaly detection through variational autoencoders and trajectory prediction
Abstract Video Anomaly Detection (VAD) represents a challenging and prominent research
task within computer vision. In recent years, Pose-based Video Anomaly Detection (PAD) …
task within computer vision. In recent years, Pose-based Video Anomaly Detection (PAD) …
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
S Chen, X Du, J Wang - arXiv preprint arXiv:2401.10300, 2024 - arxiv.org
Emergence, a global property of complex adaptive systems (CASs) constituted by interactive
agents, is prevalent in real-world dynamic systems, eg, network-level traffic congestions …
agents, is prevalent in real-world dynamic systems, eg, network-level traffic congestions …
Burstiness-aware Bipartite Graph Neural Networks for Fraudulent User Detection on Rating Platforms
As the digital commerce landscape continues to expand with rating platforms, the consumer
base has similarly grown, marking a pivotal reliance on user ratings and reviews. However …
base has similarly grown, marking a pivotal reliance on user ratings and reviews. However …
Graph-based Exploration for Mining and Optimization of Yields (GEMOY Method)
HT Sihotang, F Riandari… - Jurnal Teknik …, 2024 - medikom.iocspublisher.org
This research explores the application of graph-based optimization techniques to enhance
yield management and minimize transportation costs in industrial operations, particularly …
yield management and minimize transportation costs in industrial operations, particularly …