Saved in:
| Main Authors: | Yu, Shuo, Alqahtani, Fayez, Tolba, Amr, Lee, Ivan, Jia, Tao, Xia, Feng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2406.06617 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification
by: Naseriparsa, Mehdi, et al.
Published: (2025)
by: Naseriparsa, Mehdi, et al.
Published: (2025)
A Machine Learning Ensemble Model for the Detection of Cyberbullying
by: Alqahtani, Abulkarim Faraj, et al.
Published: (2024)
by: Alqahtani, Abulkarim Faraj, et al.
Published: (2024)
Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation
by: Song, Yifan, et al.
Published: (2025)
by: Song, Yifan, et al.
Published: (2025)
A QUBO Framework for Team Formation
by: Vombatkere, Karan, et al.
Published: (2025)
by: Vombatkere, Karan, et al.
Published: (2025)
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
by: Shen, Zhixiang, et al.
Published: (2024)
by: Shen, Zhixiang, et al.
Published: (2024)
Spiking Graph Predictive Coding for Reliable OOD Generalization
by: Ren, Jing, et al.
Published: (2026)
by: Ren, Jing, et al.
Published: (2026)
Hierarchical-Graph-Structured Edge Partition Models for Learning Evolving Community Structure
by: Yu, Xincan, et al.
Published: (2024)
by: Yu, Xincan, et al.
Published: (2024)
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)
by: Huang, Zhenhua, et al.
Published: (2024)
Attributed Graph Clustering in Collaborative Settings
by: Zhang, Rui, et al.
Published: (2024)
by: Zhang, Rui, et al.
Published: (2024)
Observational Learning with a Budget
by: Wu, Shuo, et al.
Published: (2025)
by: Wu, Shuo, et al.
Published: (2025)
Influence Strength Estimation in Hyperbolic Space for Social Influence Maximization
by: Qiao, Hongliang, et al.
Published: (2025)
by: Qiao, Hongliang, et al.
Published: (2025)
Revealing and Utilizing In-group Favoritism for Graph-based Collaborative Filtering
by: Jung, Hoin, et al.
Published: (2024)
by: Jung, Hoin, et al.
Published: (2024)
PANDORA: Deep graph learning based COVID-19 infection risk level forecasting
by: Yu, Shuo, et al.
Published: (2024)
by: Yu, Shuo, et al.
Published: (2024)
Modeling Teams Performance Using Deep Representational Learning on Graphs
by: Carli, Francesco, et al.
Published: (2022)
by: Carli, Francesco, et al.
Published: (2022)
Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
by: Li, Yicong, et al.
Published: (2024)
by: Li, Yicong, et al.
Published: (2024)
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning
by: Jiang, Ruobing, et al.
Published: (2025)
by: Jiang, Ruobing, et al.
Published: (2025)
Collaborative Content Moderation in the Fediverse
by: Zia, Haris Bin, et al.
Published: (2025)
by: Zia, Haris Bin, et al.
Published: (2025)
MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering
by: Hu, Jun, et al.
Published: (2022)
by: Hu, Jun, et al.
Published: (2022)
JiuTian Chuanliu: A Large Spatiotemporal Model for General-purpose Dynamic Urban Sensing
by: Han, Liangzhe, et al.
Published: (2025)
by: Han, Liangzhe, et al.
Published: (2025)
Learning on Multimodal Graphs: A Survey
by: Peng, Ciyuan, et al.
Published: (2024)
by: Peng, Ciyuan, et al.
Published: (2024)
The maximum capability of a topological feature in link prediction
by: Ran, Yijun, et al.
Published: (2022)
by: Ran, Yijun, et al.
Published: (2022)
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction
by: Li, Yushen, et al.
Published: (2024)
by: Li, Yushen, et al.
Published: (2024)
Towards Collaborative Anti-Money Laundering Among Financial Institutions
by: Tian, Zhihua, et al.
Published: (2025)
by: Tian, Zhihua, et al.
Published: (2025)
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
by: Hou, Yu, et al.
Published: (2024)
by: Hou, Yu, et al.
Published: (2024)
Joint Graph Rewiring and Feature Denoising via Spectral Resonance
by: Linkerhägner, Jonas, et al.
Published: (2024)
by: Linkerhägner, Jonas, et al.
Published: (2024)
A Visual Analytics Design for Connecting Healthcare Team Communication to Patient Outcomes
by: Lu, Hsiao-Ying, et al.
Published: (2024)
by: Lu, Hsiao-Ying, et al.
Published: (2024)
Open-Set Graph Anomaly Detection via Normal Structure Regularisation
by: Wang, Qizhou, et al.
Published: (2023)
by: Wang, Qizhou, et al.
Published: (2023)
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
by: Lee, Hyunwook, et al.
Published: (2024)
by: Lee, Hyunwook, et al.
Published: (2024)
Understanding the Robustness of Graph Neural Networks against Adversarial Attacks
by: Wu, Tao, et al.
Published: (2024)
by: Wu, Tao, et al.
Published: (2024)
Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks
by: Ko, Yunyong, et al.
Published: (2025)
by: Ko, Yunyong, et al.
Published: (2025)
SHyPar: A Spectral Coarsening Approach to Hypergraph Partitioning
by: Sajadinia, Hamed, et al.
Published: (2024)
by: Sajadinia, Hamed, et al.
Published: (2024)
Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs
by: Lee, Dongjin, et al.
Published: (2023)
by: Lee, Dongjin, et al.
Published: (2023)
A Spectral Framework for Evaluating Geodesic Distances Between Graphs
by: Shuvo, Soumen Sikder, et al.
Published: (2024)
by: Shuvo, Soumen Sikder, et al.
Published: (2024)
Inferring Diffusion Structures of Heterogeneous Network Cascade
by: Yuan, Yubai, et al.
Published: (2025)
by: Yuan, Yubai, et al.
Published: (2025)
A Comprehensive Review of Community Detection in Graphs
by: Li, Jiakang, et al.
Published: (2023)
by: Li, Jiakang, et al.
Published: (2023)
Bi-Level Graph Structure Learning for Next POI Recommendation
by: Wang, Liang, et al.
Published: (2024)
by: Wang, Liang, et al.
Published: (2024)
CasCIFF: A Cross-Domain Information Fusion Framework Tailored for Cascade Prediction in Social Networks
by: Zhu, Hongjun, et al.
Published: (2023)
by: Zhu, Hongjun, et al.
Published: (2023)
Neural Collaborative Filtering to Detect Anomalies in Human Semantic Trajectories
by: Liu, Yueyang, et al.
Published: (2024)
by: Liu, Yueyang, et al.
Published: (2024)
Graph-based Diffusion Model for Collaborative Filtering
by: Zhang, Xuan, et al.
Published: (2025)
by: Zhang, Xuan, et al.
Published: (2025)
Incorporating Higher-order Structural Information for Graph Clustering
by: Li, Qiankun, et al.
Published: (2024)
by: Li, Qiankun, et al.
Published: (2024)
Similar Items
-
ED-Filter: Dynamic Feature Filtering for Eating Disorder Classification
by: Naseriparsa, Mehdi, et al.
Published: (2025) -
A Machine Learning Ensemble Model for the Detection of Cyberbullying
by: Alqahtani, Abulkarim Faraj, et al.
Published: (2024) -
Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation
by: Song, Yifan, et al.
Published: (2025) -
A QUBO Framework for Team Formation
by: Vombatkere, Karan, et al.
Published: (2025) -
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning
by: Shen, Zhixiang, et al.
Published: (2024)