Transfer Entropy in Graph Convolutional Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Moldovan, Adrian, Caţaron, Angel, Andonie, Răzvan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
by: Moldovan, Adrian, et al.
Published: (2024)
by: Moldovan, Adrian, et al.
Published: (2024)
Information Plane Analysis Visualization in Deep Learning via Transfer Entropy
by: Moldovan, Adrian, et al.
Published: (2024)
by: Moldovan, Adrian, et al.
Published: (2024)
Incremental Label Distribution Learning with Scalable Graph Convolutional Networks
by: Jia, Ziqi, et al.
Published: (2024)
by: Jia, Ziqi, et al.
Published: (2024)
Concept Drift Visualization of SVM with Shifting Window
by: Galmeanu, Honorius, et al.
Published: (2024)
by: Galmeanu, Honorius, et al.
Published: (2024)
Generalization Error of Graph Neural Networks in the Mean-field Regime
by: Aminian, Gholamali, et al.
Published: (2024)
by: Aminian, Gholamali, et al.
Published: (2024)
Neural Entropy
by: Premkumar, Akhil
Published: (2024)
by: Premkumar, Akhil
Published: (2024)
A Neural Difference-of-Entropies Estimator for Mutual Information
by: Ni, Haoran, et al.
Published: (2025)
by: Ni, Haoran, et al.
Published: (2025)
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
by: Liu, Suqi, et al.
Published: (2024)
by: Liu, Suqi, et al.
Published: (2024)
A Transfer Framework for Enhancing Temporal Graph Learning in Data-Scarce Settings
by: Agarwal, Sidharth, et al.
Published: (2025)
by: Agarwal, Sidharth, et al.
Published: (2025)
Performance Guarantees for Quantum Neural Estimation of Entropies
by: Sreekumar, Sreejith, et al.
Published: (2025)
by: Sreekumar, Sreejith, et al.
Published: (2025)
Decoding Quantum LDPC Codes Using Graph Neural Networks
by: Ninkovic, Vukan, et al.
Published: (2024)
by: Ninkovic, Vukan, et al.
Published: (2024)
Frame Quantization of Neural Networks
by: Czaja, Wojciech, et al.
Published: (2024)
by: Czaja, Wojciech, et al.
Published: (2024)
Data Augmentation in Graph Neural Networks: The Role of Generated Synthetic Graphs
by: Bas, Sumeyye, et al.
Published: (2024)
by: Bas, Sumeyye, et al.
Published: (2024)
Spectral Graph Sparsification Preserves Representation Geometry in Graph Neural Networks
by: Krishnagopal, Sanjukta
Published: (2026)
by: Krishnagopal, Sanjukta
Published: (2026)
Klein Model for Hyperbolic Neural Networks
by: Mao, Yidan, et al.
Published: (2024)
by: Mao, Yidan, et al.
Published: (2024)
Topological Neural Networks over the Air
by: Fiorellino, Simone, et al.
Published: (2025)
by: Fiorellino, Simone, et al.
Published: (2025)
Centrality Graph Shift Operators for Graph Neural Networks
by: Abbahaddou, Yassine, et al.
Published: (2024)
by: Abbahaddou, Yassine, et al.
Published: (2024)
Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search
by: Zhang, Yunchuan, et al.
Published: (2024)
by: Zhang, Yunchuan, et al.
Published: (2024)
Minimum Entropy Coupling with Bottleneck
by: Ebrahimi, M. Reza, et al.
Published: (2024)
by: Ebrahimi, M. Reza, et al.
Published: (2024)
Enhancing Explainability of Graph Neural Networks Through Conceptual and Structural Analyses and Their Extensions
by: Bui, Tien Cuong
Published: (2025)
by: Bui, Tien Cuong
Published: (2025)
Quantum Neural Estimation of Entropies
by: Goldfeld, Ziv, et al.
Published: (2023)
by: Goldfeld, Ziv, et al.
Published: (2023)
Information-Theoretic Generalization Bounds for Deep Neural Networks
by: He, Haiyun, et al.
Published: (2024)
by: He, Haiyun, et al.
Published: (2024)
On the Theory of Continual Learning with Gradient Descent for Neural Networks
by: Taheri, Hossein, et al.
Published: (2025)
by: Taheri, Hossein, et al.
Published: (2025)
Statistical Guarantees for Link Prediction using Graph Neural Networks
by: Chung, Alan, et al.
Published: (2024)
by: Chung, Alan, et al.
Published: (2024)
Graph Attention Network for Node Regression on Random Geometric Graphs with Erdős--Rényi contamination
by: Laha, Somak, et al.
Published: (2026)
by: Laha, Somak, et al.
Published: (2026)
Softmax is not Enough (for Sharp Size Generalisation)
by: Veličković, Petar, et al.
Published: (2024)
by: Veličković, Petar, et al.
Published: (2024)
Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods
by: Taheri, Hossein, et al.
Published: (2024)
by: Taheri, Hossein, et al.
Published: (2024)
Implicit Hypothesis Testing and Divergence Preservation in Neural Network Representations
by: Aksoy, Kadircan, et al.
Published: (2026)
by: Aksoy, Kadircan, et al.
Published: (2026)
Theoretical Guarantees for Low-Rank Compression of Deep Neural Networks
by: Zhang, Shihao, et al.
Published: (2025)
by: Zhang, Shihao, et al.
Published: (2025)
TREET: TRansfer Entropy Estimation via Transformers
by: Luxembourg, Omer, et al.
Published: (2024)
by: Luxembourg, Omer, et al.
Published: (2024)
Accelerating Relative Entropy Coding with Space Partitioning
by: He, Jiajun, et al.
Published: (2024)
by: He, Jiajun, et al.
Published: (2024)
Fundamental Properties of Causal Entropy and Information Gain
by: Simoes, Francisco N. F. Q., et al.
Published: (2024)
by: Simoes, Francisco N. F. Q., et al.
Published: (2024)
Hierarchical Maximum Entropy via the Renormalization Group
by: Asadi, Amir R.
Published: (2025)
by: Asadi, Amir R.
Published: (2025)
Learning to Compress: Local Rank and Information Compression in Deep Neural Networks
by: Patel, Niket, et al.
Published: (2024)
by: Patel, Niket, et al.
Published: (2024)
Matrix Completion via Nonsmooth Regularization of Fully Connected Neural Networks
by: Faramarzi, Sajad, et al.
Published: (2024)
by: Faramarzi, Sajad, et al.
Published: (2024)
The Geometric Cost of Normalization: Affine Bounds on the Bayesian Complexity of Neural Networks
by: Chun, Sungbae
Published: (2026)
by: Chun, Sungbae
Published: (2026)
Out-of-Distribution Detection using Maximum Entropy Coding
by: Abolfazli, Mojtaba, et al.
Published: (2024)
by: Abolfazli, Mojtaba, et al.
Published: (2024)
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization
by: Daunas, Francisco, et al.
Published: (2024)
by: Daunas, Francisco, et al.
Published: (2024)
Dictionary Based Pattern Entropy for Causal Direction Discovery
by: B, Harikrishnan N, et al.
Published: (2026)
by: B, Harikrishnan N, et al.
Published: (2026)
Causal Entropy and Information Gain for Measuring Causal Control
by: Simoes, Francisco Nunes Ferreira Quialheiro, et al.
Published: (2023)
by: Simoes, Francisco Nunes Ferreira Quialheiro, et al.
Published: (2023)
Similar Items
-
Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
by: Moldovan, Adrian, et al.
Published: (2024) -
Information Plane Analysis Visualization in Deep Learning via Transfer Entropy
by: Moldovan, Adrian, et al.
Published: (2024) -
Incremental Label Distribution Learning with Scalable Graph Convolutional Networks
by: Jia, Ziqi, et al.
Published: (2024) -
Concept Drift Visualization of SVM with Shifting Window
by: Galmeanu, Honorius, et al.
Published: (2024) -
Generalization Error of Graph Neural Networks in the Mean-field Regime
by: Aminian, Gholamali, et al.
Published: (2024)