Saved in:
| Main Authors: | Xiao, Feng, Fu, Dazhi, Ding, Chris, Fan, Jicong |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.29933 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
UniOD: A Universal Model for Outlier Detection across Diverse Domains
by: Fu, Dazhi, et al.
Published: (2025)
by: Fu, Dazhi, et al.
Published: (2025)
Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
by: Xiao, Feng, et al.
Published: (2025)
by: Xiao, Feng, et al.
Published: (2025)
K-means Derived Unsupervised Feature Selection using Improved ADMM
by: Sun, Ziheng, et al.
Published: (2024)
by: Sun, Ziheng, et al.
Published: (2024)
Fairness-aware Anomaly Detection via Fair Projection
by: Xiao, Feng, et al.
Published: (2025)
by: Xiao, Feng, et al.
Published: (2025)
GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning
by: Feng, Qi, et al.
Published: (2026)
by: Feng, Qi, et al.
Published: (2026)
GraphProp: Training the Graph Foundation Models using Graph Properties
by: Sun, Ziheng, et al.
Published: (2025)
by: Sun, Ziheng, et al.
Published: (2025)
Spectral Clustering for Discrete Distributions
by: Wang, Zixiao, et al.
Published: (2024)
by: Wang, Zixiao, et al.
Published: (2024)
Explainable Graph Representation Learning via Graph Pattern Analysis
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
An Interdisciplinary and Cross-Task Review on Missing Data Imputation
by: Fan, Jicong
Published: (2025)
by: Fan, Jicong
Published: (2025)
Adaptive Riemannian Graph Neural Networks
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
by: Wang, Xudong, et al.
Published: (2025)
by: Wang, Xudong, et al.
Published: (2025)
Sample Transform Cost-Based Training-Free Hallucination Detector for Large Language Models
by: Ding, Zeyang, et al.
Published: (2026)
by: Ding, Zeyang, et al.
Published: (2026)
Multi-Subspace Matrix Recovery from Permuted Data
by: Xie, Liangqi, et al.
Published: (2024)
by: Xie, Liangqi, et al.
Published: (2024)
Mutual Regression Distance
by: Qiao, Dong, et al.
Published: (2025)
by: Qiao, Dong, et al.
Published: (2025)
Graph Classification via Reference Distribution Learning: Theory and Practice
by: Wang, Zixiao, et al.
Published: (2024)
by: Wang, Zixiao, et al.
Published: (2024)
DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
by: Jiang, Zhenhao, et al.
Published: (2024)
by: Jiang, Zhenhao, et al.
Published: (2024)
Non-Convex Tensor Recovery from Local Measurements
by: Wu, Tongle, et al.
Published: (2024)
by: Wu, Tongle, et al.
Published: (2024)
Unsupervised Anomaly Detection for Tabular Data Using Noise Evaluation
by: Dai, Wei, et al.
Published: (2024)
by: Dai, Wei, et al.
Published: (2024)
Federated t-SNE and UMAP for Distributed Data Visualization
by: Qiao, Dong, et al.
Published: (2024)
by: Qiao, Dong, et al.
Published: (2024)
Subject Information Extraction for Novelty Detection with Domain Shifts
by: Qu, Yangyang, et al.
Published: (2025)
by: Qu, Yangyang, et al.
Published: (2025)
Deep Orthogonal Hypersphere Compression for Anomaly Detection
by: Zhang, Yunhe, et al.
Published: (2023)
by: Zhang, Yunhe, et al.
Published: (2023)
Medical Test-free Disease Detection Based on Big Data
by: Zhao, Haokun, et al.
Published: (2025)
by: Zhao, Haokun, et al.
Published: (2025)
X-SQL: Expert Schema Linking and Understanding of Text-to-SQL with Multi-LLMs
by: Peng, Dazhi
Published: (2025)
by: Peng, Dazhi
Published: (2025)
Layer Embedding Deep Fusion Graph Neural Network
by: Xu, Taihua, et al.
Published: (2026)
by: Xu, Taihua, et al.
Published: (2026)
Your Latent Mask is Wrong: Pixel-Equivalent Latent Compositing for Diffusion Models
by: Bradbury, Rowan, et al.
Published: (2025)
by: Bradbury, Rowan, et al.
Published: (2025)
$\texttt{SynC}$: Synergistic Boosting of Structure and Representation for Deep Graph Clustering
by: Ding, Shifei, et al.
Published: (2024)
by: Ding, Shifei, et al.
Published: (2024)
A Review and Evaluation of Elastic Distance Functions for Time Series Clustering
by: Holder, Chris, et al.
Published: (2022)
by: Holder, Chris, et al.
Published: (2022)
On the Convergence of Federated Averaging under Partial Participation for Over-parameterized Neural Networks
by: Liu, Xin, et al.
Published: (2023)
by: Liu, Xin, et al.
Published: (2023)
Benchmarking of Clustering Validity Measures Revisited
by: Simpson, Connor, et al.
Published: (2025)
by: Simpson, Connor, et al.
Published: (2025)
Deep Temporal Graph Clustering: A Comprehensive Benchmark and Datasets
by: Liu, Meng, et al.
Published: (2026)
by: Liu, Meng, et al.
Published: (2026)
GeoChemAD: Benchmarking Unsupervised Geochemical Anomaly Detection for Mineral Exploration
by: Ding, Yihao, et al.
Published: (2026)
by: Ding, Yihao, et al.
Published: (2026)
Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clustering
by: Yan, Yubing, et al.
Published: (2024)
by: Yan, Yubing, et al.
Published: (2024)
Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering
by: Liu, Yunhui, et al.
Published: (2026)
by: Liu, Yunhui, et al.
Published: (2026)
Clustering Malware at Scale: A First Full-Benchmark Study
by: Mocko, Martin, et al.
Published: (2025)
by: Mocko, Martin, et al.
Published: (2025)
Learning Word Embedding with Better Distance Weighting and Window Size Scheduling
by: Yang, Chaohao, et al.
Published: (2024)
by: Yang, Chaohao, et al.
Published: (2024)
Adaptive Pruning of Pretrained Transformer via Differential Inclusions
by: Ding, Yizhuo, et al.
Published: (2025)
by: Ding, Yizhuo, et al.
Published: (2025)
FedDAA: Dynamic Client Clustering for Concept Drift Adaptation in Federated Learning
by: Peng, Fu, et al.
Published: (2025)
by: Peng, Fu, et al.
Published: (2025)
MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning
by: Li, Xunkai, et al.
Published: (2026)
by: Li, Xunkai, et al.
Published: (2026)
A Flexible Adaptive Stable Clustering Algorithm for Archive-Scale Online Mass Spectrometry
by: Shi, Shao, et al.
Published: (2026)
by: Shi, Shao, et al.
Published: (2026)
Settling Time vs. Accuracy Tradeoffs for Clustering Big Data
by: Draganov, Andrew, et al.
Published: (2024)
by: Draganov, Andrew, et al.
Published: (2024)
Similar Items
-
UniOD: A Universal Model for Outlier Detection across Diverse Domains
by: Fu, Dazhi, et al.
Published: (2025) -
Text-ADBench: Text Anomaly Detection Benchmark based on LLMs Embedding
by: Xiao, Feng, et al.
Published: (2025) -
K-means Derived Unsupervised Feature Selection using Improved ADMM
by: Sun, Ziheng, et al.
Published: (2024) -
Fairness-aware Anomaly Detection via Fair Projection
by: Xiao, Feng, et al.
Published: (2025) -
GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning
by: Feng, Qi, et al.
Published: (2026)