Virtual Nodes based Heterogeneous Graph Convolutional Neural Network for Efficient Long-Range Information Aggregation
Fuente:
arXiv
Guardado en:
| Autores principales: | Yan, Ranhui, cai, Jia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
PCA- and SVM-Grad-CAM for Convolutional Neural Networks: Closed-form Jacobian Expression
por: Omae, Yuto
Publicado: (2025)
por: Omae, Yuto
Publicado: (2025)
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
por: Wang, Tuo, et al.
Publicado: (2025)
por: Wang, Tuo, et al.
Publicado: (2025)
Single-Edge Node Injection Threats to GNN-Based Security Monitoring in Industrial Graph Systems
por: Liang, Wenjie, et al.
Publicado: (2026)
por: Liang, Wenjie, et al.
Publicado: (2026)
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
por: Zhang, Jiaxing, et al.
Publicado: (2023)
por: Zhang, Jiaxing, et al.
Publicado: (2023)
Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
por: Soeteman, Arie, et al.
Publicado: (2025)
por: Soeteman, Arie, et al.
Publicado: (2025)
Efficiently Scanning and Resampling Spatio-Temporal Tasks with Irregular Observations
por: Ferenczi, Bryce, et al.
Publicado: (2024)
por: Ferenczi, Bryce, et al.
Publicado: (2024)
Graph Analysis Using a GPU-based Parallel Algorithm: Quantum Clustering
por: Wang, Zhe, et al.
Publicado: (2023)
por: Wang, Zhe, et al.
Publicado: (2023)
Study Design and Demystification of Physics Informed Neural Networks for Power Flow Simulation
por: Leyli-abadi, Milad, et al.
Publicado: (2025)
por: Leyli-abadi, Milad, et al.
Publicado: (2025)
Carefully Structured Compression: Efficiently Managing StarCraft II Data
por: Ferenczi, Bryce, et al.
Publicado: (2024)
por: Ferenczi, Bryce, et al.
Publicado: (2024)
Interpretable Clinical Classification with Kolmogorov-Arnold Networks
por: Almodóvar, Alejandro, et al.
Publicado: (2025)
por: Almodóvar, Alejandro, et al.
Publicado: (2025)
Convolutional Neural Networks Can (Meta-)Learn the Same-Different Relation
por: Gupta, Max, et al.
Publicado: (2025)
por: Gupta, Max, et al.
Publicado: (2025)
Graph Neural Networks Need Cluster-Normalize-Activate Modules
por: Skryagin, Arseny, et al.
Publicado: (2024)
por: Skryagin, Arseny, et al.
Publicado: (2024)
ATEX-CF: Attack-Informed Counterfactual Explanations for Graph Neural Networks
por: Zhang, Yu, et al.
Publicado: (2026)
por: Zhang, Yu, et al.
Publicado: (2026)
Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks
por: Altamirano-Gómez, Gerardo, et al.
Publicado: (2024)
por: Altamirano-Gómez, Gerardo, et al.
Publicado: (2024)
A Capacity-Based Rationale for Multi-Head Attention
por: Adler, Micah
Publicado: (2025)
por: Adler, Micah
Publicado: (2025)
Empowering Decision Trees via Shape Function Branching
por: Upadhya, Nakul, et al.
Publicado: (2025)
por: Upadhya, Nakul, et al.
Publicado: (2025)
Prediction Instability in Machine Learning Ensembles
por: Kedziora, Jeremy
Publicado: (2024)
por: Kedziora, Jeremy
Publicado: (2024)
Meta Pattern Concern Score: A Novel Evaluation Measure with Human Values for Multi-classifiers
por: Wang, Yanyun, et al.
Publicado: (2022)
por: Wang, Yanyun, et al.
Publicado: (2022)
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability
por: Edin, Joakim, et al.
Publicado: (2024)
por: Edin, Joakim, et al.
Publicado: (2024)
Informal Safety Guarantees for Simulated Optimizers Through Extrapolation from Partial Simulations
por: Marks, Luke
Publicado: (2023)
por: Marks, Luke
Publicado: (2023)
Interpolation, Extrapolation, Hyperpolation: Generalising into new dimensions
por: Ord, Toby
Publicado: (2024)
por: Ord, Toby
Publicado: (2024)
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model
por: Shao, Zhiqi, et al.
Publicado: (2024)
por: Shao, Zhiqi, et al.
Publicado: (2024)
Noisy Data is Destructive to Reinforcement Learning with Verifiable Rewards
por: Zhu, Yuxuan, et al.
Publicado: (2026)
por: Zhu, Yuxuan, et al.
Publicado: (2026)
Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
por: Nguyen, Minh-Duong, et al.
Publicado: (2025)
por: Nguyen, Minh-Duong, et al.
Publicado: (2025)
Unsupervised Anomaly Prediction with N-BEATS and Graph Neural Network in Multi-variate Semiconductor Process Time Series
por: Sorensen, Daniel, et al.
Publicado: (2025)
por: Sorensen, Daniel, et al.
Publicado: (2025)
Regime Change Hypothesis: Foundations for Decoupled Dynamics in Neural Network Training
por: Pérez-Corral, Cristian, et al.
Publicado: (2026)
por: Pérez-Corral, Cristian, et al.
Publicado: (2026)
The Long Delay to Arithmetic Generalization: When Learned Representations Outrun Behavior
por: Gonzalez, Laura Gomezjurado
Publicado: (2026)
por: Gonzalez, Laura Gomezjurado
Publicado: (2026)
Customizing Graph Neural Networks using Path Reweighting
por: Chen, Jianpeng, et al.
Publicado: (2021)
por: Chen, Jianpeng, et al.
Publicado: (2021)
Feel-Good Thompson Sampling for Contextual Bandits: a Markov Chain Monte Carlo Showdown
por: Anand, Emile, et al.
Publicado: (2025)
por: Anand, Emile, et al.
Publicado: (2025)
Learning Can Converge Stably to the Wrong Belief under Latent Reliability
por: Zhang, Zhipeng, et al.
Publicado: (2026)
por: Zhang, Zhipeng, et al.
Publicado: (2026)
Implicit Counterfactual Data Augmentation for Robust Learning
por: Zhou, Xiaoling, et al.
Publicado: (2023)
por: Zhou, Xiaoling, et al.
Publicado: (2023)
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data
por: Xiao, Zikai, et al.
Publicado: (2024)
por: Xiao, Zikai, et al.
Publicado: (2024)
Deep Learning-Based Intrusion Detection for Automotive Ethernet: Evaluating & Optimizing Fast Inference Techniques for Deployment on Low-Cost Platform
por: Carmo, Pedro R. X., et al.
Publicado: (2025)
por: Carmo, Pedro R. X., et al.
Publicado: (2025)
An Efficient Gradient-Based Inference Attack for Federated Learning
por: Montaña-Fernández, Pablo, et al.
Publicado: (2025)
por: Montaña-Fernández, Pablo, et al.
Publicado: (2025)
Wolkowicz-Styan Upper Bound on the Hessian Eigenspectrum for Cross-Entropy Loss in Nonlinear Smooth Neural Networks
por: Omae, Yuto, et al.
Publicado: (2026)
por: Omae, Yuto, et al.
Publicado: (2026)
Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models
por: d'Amato, Claudia, et al.
Publicado: (2025)
por: d'Amato, Claudia, et al.
Publicado: (2025)
Intelligent Routing for Sparse Demand Forecasting: A Comparative Evaluation of Selection Strategies
por: Zhang, Qiwen
Publicado: (2025)
por: Zhang, Qiwen
Publicado: (2025)
Meta-model Neural Process for Probabilistic Power Flow under Varying N-1 System Topologies
por: Ly, Sel, et al.
Publicado: (2025)
por: Ly, Sel, et al.
Publicado: (2025)
Kolmogorov-Arnold Networks (KAN) for Time Series Classification and Robust Analysis
por: Dong, Chang, et al.
Publicado: (2024)
por: Dong, Chang, et al.
Publicado: (2024)
An Axiomatic Approach to General Intelligence: SANC(E3) -- Self-organizing Active Network of Concepts with Energy E3
por: Kwon, Daesuk, et al.
Publicado: (2026)
por: Kwon, Daesuk, et al.
Publicado: (2026)
Ejemplares similares
-
PCA- and SVM-Grad-CAM for Convolutional Neural Networks: Closed-form Jacobian Expression
por: Omae, Yuto
Publicado: (2025) -
Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks
por: Wang, Tuo, et al.
Publicado: (2025) -
Single-Edge Node Injection Threats to GNN-Based Security Monitoring in Industrial Graph Systems
por: Liang, Wenjie, et al.
Publicado: (2026) -
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
por: Zhang, Jiaxing, et al.
Publicado: (2023) -
Logical Expressiveness of Graph Neural Networks with Hierarchical Node Individualization
por: Soeteman, Arie, et al.
Publicado: (2025)