Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Zhe, He, ZhiJie, Liu, Ding |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PANDORA: A Parallel Dendrogram Construction Algorithm for Single Linkage Clustering on GPU
by: Sao, Piyush, et al.
Published: (2024)
by: Sao, Piyush, et al.
Published: (2024)
Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
by: Yan, Ranhui, et al.
Published: (2025)
by: Yan, Ranhui, et al.
Published: (2025)
Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers
by: Wang, Yanyun, et al.
Published: (2022)
by: Wang, Yanyun, et al.
Published: (2022)
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
by: Wang, Tuo, et al.
Published: (2025)
by: Wang, Tuo, et al.
Published: (2025)
A Rapid Review of Clustering Algorithms
by: Yin, Hui, et al.
Published: (2024)
by: Yin, Hui, et al.
Published: (2024)
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations
by: Ferenczi, Bryce, et al.
Published: (2024)
by: Ferenczi, Bryce, et al.
Published: (2024)
PCA- and SVM-Grad-CAM for Convolutional Neural Networks: Closed-form Jacobian Expression
by: Omae, Yuto
Published: (2025)
by: Omae, Yuto
Published: (2025)
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model
by: Shao, Zhiqi, et al.
Published: (2024)
by: Shao, Zhiqi, et al.
Published: (2024)
TSFool: Crafting Highly-Imperceptible Adversarial Time Series through Multi-Objective Attack
by: Wang, Yanyun, et al.
Published: (2022)
by: Wang, Yanyun, et al.
Published: (2022)
Graph Neural Networks Need Cluster-Normalize-Activate Modules
by: Skryagin, Arseny, et al.
Published: (2024)
by: Skryagin, Arseny, et al.
Published: (2024)
Informal Safety Guarantees for Simulated Optimizers Through Extrapolation from Partial Simulations
by: Marks, Luke
Published: (2023)
by: Marks, Luke
Published: (2023)
Prediction Instability in Machine Learning Ensembles
by: Kedziora, Jeremy
Published: (2024)
by: Kedziora, Jeremy
Published: (2024)
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability
by: Edin, Joakim, et al.
Published: (2024)
by: Edin, Joakim, et al.
Published: (2024)
Interpretable Clinical Classification with Kolmogorov-Arnold Networks
by: Almodóvar, Alejandro, et al.
Published: (2025)
by: Almodóvar, Alejandro, et al.
Published: (2025)
A Capacity-Based Rationale for Multi-Head Attention
by: Adler, Micah
Published: (2025)
by: Adler, Micah
Published: (2025)
Empowering Decision Trees via Shape Function Branching
by: Upadhya, Nakul, et al.
Published: (2025)
by: Upadhya, Nakul, et al.
Published: (2025)
Interpolation, Extrapolation, Hyperpolation: Generalising into new dimensions
by: Ord, Toby
Published: (2024)
by: Ord, Toby
Published: (2024)
Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards
by: Zhu, Yuxuan, et al.
Published: (2026)
by: Zhu, Yuxuan, et al.
Published: (2026)
Carefully Structured Compression: Efficiently Managing StarCraft II Data
by: Ferenczi, Bryce, et al.
Published: (2024)
by: Ferenczi, Bryce, et al.
Published: (2024)
Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
by: Nguyen, Minh-Duong, et al.
Published: (2025)
by: Nguyen, Minh-Duong, et al.
Published: (2025)
Implicit Counterfactual Data Augmentation for Robust Learning
by: Zhou, Xiaoling, et al.
Published: (2023)
by: Zhou, Xiaoling, et al.
Published: (2023)
Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
by: Anand, Emile, et al.
Published: (2025)
by: Anand, Emile, et al.
Published: (2025)
Learning Can Converge Stably to the Wrong Belief under Latent Reliability
by: Zhang, Zhipeng, et al.
Published: (2026)
by: Zhang, Zhipeng, et al.
Published: (2026)
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
by: Zhang, Jiaxing, et al.
Published: (2023)
by: Zhang, Jiaxing, et al.
Published: (2023)
Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating & Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform
by: Carmo, Pedro R. X., et al.
Published: (2025)
by: Carmo, Pedro R. X., et al.
Published: (2025)
QuIRK: Quantum-Inspired Re-uploading KAN
by: Sharma, Vinayak, et al.
Published: (2025)
by: Sharma, Vinayak, et al.
Published: (2025)
Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
by: d'Amato, Claudia, et al.
Published: (2025)
by: d'Amato, Claudia, et al.
Published: (2025)
Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies
by: Zhang, Qiwen
Published: (2025)
by: Zhang, Qiwen
Published: (2025)
Machine Learning for Physical Simulation Challenge Results and Retrospective Analysis: Power Grid Use Case
by: Leyli-Abadi, Milad, et al.
Published: (2025)
by: Leyli-Abadi, Milad, et al.
Published: (2025)
Correlation Analysis of Adversarial Attack in Time Series Classification
by: Li, Zhengyang, et al.
Published: (2024)
by: Li, Zhengyang, et al.
Published: (2024)
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
by: Dong, Chang, et al.
Published: (2024)
by: Dong, Chang, et al.
Published: (2024)
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
by: Kajitsuka, Tokio, et al.
Published: (2023)
by: Kajitsuka, Tokio, et al.
Published: (2023)
STEAM & MoSAFE: SOTIF Error-and-Failure Model & Analysis for AI-Enabled Driving Automation
by: Czarnecki, Krzysztof, et al.
Published: (2023)
by: Czarnecki, Krzysztof, et al.
Published: (2023)
Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance
by: Delahunt, Charles B., et al.
Published: (2026)
by: Delahunt, Charles B., et al.
Published: (2026)
Tracking daily paths in home contexts with RSSI fingerprinting based on UWB through deep learning models
by: Polo-Rodríguez, Aurora, et al.
Published: (2025)
by: Polo-Rodríguez, Aurora, et al.
Published: (2025)
How Data Quality Affects Machine Learning Models for Credit Risk Assessment
by: Maurino, Andrea
Published: (2025)
by: Maurino, Andrea
Published: (2025)
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
by: Leyli-abadi, Milad, et al.
Published: (2025)
by: Leyli-abadi, Milad, et al.
Published: (2025)
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
by: Xiao, Zikai, et al.
Published: (2024)
by: Xiao, Zikai, et al.
Published: (2024)
High-Entropy Tokens as Multimodal Failure Points in Vision-Language Models
by: He, Mengqi, et al.
Published: (2025)
by: He, Mengqi, et al.
Published: (2025)
Graph Language Models
by: Plenz, Moritz, et al.
Published: (2024)
by: Plenz, Moritz, et al.
Published: (2024)
Similar Items
-
PANDORA: A Parallel Dendrogram Construction Algorithm for Single Linkage Clustering on GPU
by: Sao, Piyush, et al.
Published: (2024) -
Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
by: Yan, Ranhui, et al.
Published: (2025) -
Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers
by: Wang, Yanyun, et al.
Published: (2022) -
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
by: Wang, Tuo, et al.
Published: (2025) -
A Rapid Review of Clustering Algorithms
by: Yin, Hui, et al.
Published: (2024)