Saved in:
| Main Authors: | Jalilian, Ehsaneddin, Resch, Bernd |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.03063 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Spatial Structures in the Austrian COVID-19 Protest Movement: A Virtual and Geospatial Twitter User Network Analysis
by: Kanilmaz, Umut Nefta, et al.
Published: (2024)
by: Kanilmaz, Umut Nefta, et al.
Published: (2024)
Quantifying Institutional Gender Inequality in Contemporary Visual Art
by: Wang, Xindi, et al.
Published: (2025)
by: Wang, Xindi, et al.
Published: (2025)
Efficient Unsupervised Community Search with Pre-trained Graph Transformer
by: Wang, Jianwei, et al.
Published: (2024)
by: Wang, Jianwei, et al.
Published: (2024)
Semantic Communities and Boundary-Spanning Lyrics in K-pop: A Graph-Based Unsupervised Analysis
by: Karakuş, Oktay
Published: (2026)
by: Karakuş, Oktay
Published: (2026)
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
by: Li, Jinghan, et al.
Published: (2024)
by: Li, Jinghan, et al.
Published: (2024)
Hybrid Graph Embeddings and Louvain Algorithm for Unsupervised Community Detection
by: Khettaf, Dalila, et al.
Published: (2025)
by: Khettaf, Dalila, et al.
Published: (2025)
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
by: Li, Yuan, et al.
Published: (2026)
by: Li, Yuan, et al.
Published: (2026)
Analysis of Persian News Agencies on Instagram, A Words Co-occurrence Graph-based Approach
by: Heydari, Mohammad, et al.
Published: (2024)
by: Heydari, Mohammad, et al.
Published: (2024)
Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs
by: Parkar, Devendra, et al.
Published: (2025)
by: Parkar, Devendra, et al.
Published: (2025)
GCTAM: Global and Contextual Truncated Affinity Combined Maximization Model For Unsupervised Graph Anomaly Detection
by: Zhang, Xiong, et al.
Published: (2026)
by: Zhang, Xiong, et al.
Published: (2026)
Conversation-Based Multimodal Abuse Detection Through Text and Graph Embeddings
by: Cecillon, Noé, et al.
Published: (2025)
by: Cecillon, Noé, et al.
Published: (2025)
HC-GLAD: Dual Hyperbolic Contrastive Learning for Unsupervised Graph-Level Anomaly Detection
by: Fu, Yali, et al.
Published: (2024)
by: Fu, Yali, et al.
Published: (2024)
Unsupervised detection of coordinated information operations in the wild
by: Smith, D. Hudson, et al.
Published: (2024)
by: Smith, D. Hudson, et al.
Published: (2024)
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
by: Shen, Zhixiang, et al.
Published: (2024)
by: Shen, Zhixiang, et al.
Published: (2024)
Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
by: Chang, Wenjing, et al.
Published: (2024)
by: Chang, Wenjing, et al.
Published: (2024)
Community Concealment from Unsupervised Graph Learning-Based Clustering
by: Manatova, Dalyapraz, et al.
Published: (2026)
by: Manatova, Dalyapraz, et al.
Published: (2026)
Unsupervised node clustering via contrastive hard sampling
by: Cui, Hang, et al.
Published: (2024)
by: Cui, Hang, et al.
Published: (2024)
MSEVA : A System for Multimodal Short Videos Emotion Visual Analysis
by: Wei, Qinglan, et al.
Published: (2023)
by: Wei, Qinglan, et al.
Published: (2023)
Feature-Based Network Construction: From Sampling to What-if Analysis
by: Franssen, Christian, et al.
Published: (2024)
by: Franssen, Christian, et al.
Published: (2024)
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
by: Shen, Zhixiang, et al.
Published: (2024)
by: Shen, Zhixiang, et al.
Published: (2024)
Unsupervised Social Bot Detection via Structural Information Theory
by: Peng, Hao, et al.
Published: (2024)
by: Peng, Hao, et al.
Published: (2024)
Effective Graph-Neural-Network based Models for Discovering Structural Hole Spanners in Large-Scale and Diverse Networks
by: Goel, Diksha, et al.
Published: (2023)
by: Goel, Diksha, et al.
Published: (2023)
Untangling the Furball: A Practice Mapping Approach to the Analysis of Multimodal Interactions in Social Networks
by: Bruns, Axel, et al.
Published: (2024)
by: Bruns, Axel, et al.
Published: (2024)
Enhancing Social Media Personalization: Dynamic User Profile Embeddings and Multimodal Contextual Analysis Using Transformer Models
by: Vachharajani, Pranav
Published: (2024)
by: Vachharajani, Pranav
Published: (2024)
Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy
by: Liu, Qitong, et al.
Published: (2026)
by: Liu, Qitong, et al.
Published: (2026)
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
by: Hu, Jun, et al.
Published: (2024)
by: Hu, Jun, et al.
Published: (2024)
On the Feasibility of Simple Transformer for Dynamic Graph Modeling
by: Wu, Yuxia, et al.
Published: (2024)
by: Wu, Yuxia, et al.
Published: (2024)
Network Modelling in Analysing Cyber-related Graphs
by: Kuikka, Vesa, et al.
Published: (2024)
by: Kuikka, Vesa, et al.
Published: (2024)
Random Graph Modeling: A survey of the concepts
by: Drobyshevskiy, Mikhail, et al.
Published: (2024)
by: Drobyshevskiy, Mikhail, et al.
Published: (2024)
Temporal Graph Analysis with TGX
by: Shirzadkhani, Razieh, et al.
Published: (2024)
by: Shirzadkhani, Razieh, et al.
Published: (2024)
CueGCL: Cluster-aware Personalized Self-Training for Unsupervised Graph Contrastive Learning
by: Li, Yuecheng, et al.
Published: (2023)
by: Li, Yuecheng, et al.
Published: (2023)
Graph Neural Networks for Road Safety Modeling: Datasets and Evaluations for Accident Analysis
by: Nippani, Abhinav, et al.
Published: (2023)
by: Nippani, Abhinav, et al.
Published: (2023)
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
by: Luan, Sitao, et al.
Published: (2024)
by: Luan, Sitao, et al.
Published: (2024)
Multimodal Point-of-Interest Recommendation
by: Kanzawa, Yuta, et al.
Published: (2024)
by: Kanzawa, Yuta, et al.
Published: (2024)
Robustness Evaluation of Graph-based News Detection Using Network Structural Information
by: Zeng, Xianghua, et al.
Published: (2025)
by: Zeng, Xianghua, et al.
Published: (2025)
A Model of Proactive Safety Based on Knowledge Graph
by: Wen, He
Published: (2024)
by: Wen, He
Published: (2024)
Sampling Random Graphs from the Colored Configuration Model
by: Pellegrina, Leonardo
Published: (2026)
by: Pellegrina, Leonardo
Published: (2026)
Understanding the Dynamics of the Stack Overflow Community through Social Network Analysis and Graph Algorithms
by: Igbudu, Rapheal Cyril, et al.
Published: (2024)
by: Igbudu, Rapheal Cyril, et al.
Published: (2024)
Disentangling Homophily and Heterophily in Multimodal Graph Clustering
by: Guo, Zhaochen, et al.
Published: (2025)
by: Guo, Zhaochen, et al.
Published: (2025)
Know Your Account: Double Graph Inference-based Account De-anonymization on Ethereum
by: Miao, Shuyi, et al.
Published: (2024)
by: Miao, Shuyi, et al.
Published: (2024)
Similar Items
-
The Spatial Structures in the Austrian COVID-19 Protest Movement: A Virtual and Geospatial Twitter User Network Analysis
by: Kanilmaz, Umut Nefta, et al.
Published: (2024) -
Quantifying Institutional Gender Inequality in Contemporary Visual Art
by: Wang, Xindi, et al.
Published: (2025) -
Efficient Unsupervised Community Search with Pre-trained Graph Transformer
by: Wang, Jianwei, et al.
Published: (2024) -
Semantic Communities and Boundary-Spanning Lyrics in K-pop: A Graph-Based Unsupervised Analysis
by: Karakuş, Oktay
Published: (2026) -
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector
by: Li, Jinghan, et al.
Published: (2024)