Guardado en:
| Autores principales: | Pahng, Seong Ho, Hormoz, Sahand |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2410.14109 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DiffeoMorph: Learning to Morph 3D Shapes Using Differentiable Agent-Based Simulations
por: Pahng, Seong Ho, et al.
Publicado: (2025)
por: Pahng, Seong Ho, et al.
Publicado: (2025)
An efficient solution to Hidden Markov Models on trees with coupled branches
por: Vafa, Farzan, et al.
Publicado: (2024)
por: Vafa, Farzan, et al.
Publicado: (2024)
Asynchronous Evolution of Deep Neural Network Architectures
por: Liang, Jason, et al.
Publicado: (2023)
por: Liang, Jason, et al.
Publicado: (2023)
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection
por: Jo, Hayoung, et al.
Publicado: (2024)
por: Jo, Hayoung, et al.
Publicado: (2024)
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
por: Ahn, Seong Jin, et al.
Publicado: (2025)
por: Ahn, Seong Jin, et al.
Publicado: (2025)
Geometry-Aware Edge Pooling for Graph Neural Networks
por: Limbeck, Katharina, et al.
Publicado: (2025)
por: Limbeck, Katharina, et al.
Publicado: (2025)
Learning Multi-resolution Graph Edge Embedding for Discovering Brain Network Dysfunction in Neurological Disorders
por: Ma, Xin, et al.
Publicado: (2019)
por: Ma, Xin, et al.
Publicado: (2019)
Edge Prompt Tuning for Graph Neural Networks
por: Fu, Xingbo, et al.
Publicado: (2025)
por: Fu, Xingbo, et al.
Publicado: (2025)
Directed Homophily-Aware Graph Neural Network
por: Zhang, Aihu, et al.
Publicado: (2025)
por: Zhang, Aihu, et al.
Publicado: (2025)
Graph Neural Networks Are Not Continuous Across Graph Resolutions
por: Koke, Christian, et al.
Publicado: (2026)
por: Koke, Christian, et al.
Publicado: (2026)
Refined Edge Usage of Graph Neural Networks for Edge Prediction
por: Jin, Jiarui, et al.
Publicado: (2022)
por: Jin, Jiarui, et al.
Publicado: (2022)
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance
por: Fuchsgruber, Dominik, et al.
Publicado: (2024)
por: Fuchsgruber, Dominik, et al.
Publicado: (2024)
Graph Neural Networks Powered by Encoder Embedding for Improved Node Learning
por: Chen, Shiyu, et al.
Publicado: (2025)
por: Chen, Shiyu, et al.
Publicado: (2025)
EVOTER: Evolution of Transparent Explainable Rule-sets
por: Shahrzad, Hormoz, et al.
Publicado: (2022)
por: Shahrzad, Hormoz, et al.
Publicado: (2022)
Demystifying Distributed Training of Graph Neural Networks for Link Prediction
por: Huang, Xin, et al.
Publicado: (2025)
por: Huang, Xin, et al.
Publicado: (2025)
Continuous Product Graph Neural Networks
por: Einizade, Aref, et al.
Publicado: (2024)
por: Einizade, Aref, et al.
Publicado: (2024)
On the Adversarial Robustness of Graph Neural Networks with Graph Reduction
por: Wu, Kerui, et al.
Publicado: (2024)
por: Wu, Kerui, et al.
Publicado: (2024)
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack
por: Liu, Xin, et al.
Publicado: (2024)
por: Liu, Xin, et al.
Publicado: (2024)
Ignoring Directionality Leads to Compromised Graph Neural Network Explanations
por: Sun, Changsheng, et al.
Publicado: (2025)
por: Sun, Changsheng, et al.
Publicado: (2025)
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
por: Zhao, Gongpei, et al.
Publicado: (2024)
por: Zhao, Gongpei, et al.
Publicado: (2024)
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
por: Guo, Jingwei, et al.
Publicado: (2022)
por: Guo, Jingwei, et al.
Publicado: (2022)
Provably Powerful Graph Neural Networks for Directed Multigraphs
por: Egressy, Béni, et al.
Publicado: (2023)
por: Egressy, Béni, et al.
Publicado: (2023)
Composing Ensembles of Instrument-Model Pairs for Optimizing Profitability in Algorithmic Trading
por: Hassanizorgabad, Sahand
Publicado: (2024)
por: Hassanizorgabad, Sahand
Publicado: (2024)
Sketch-Augmented Features Improve Learning Long-Range Dependencies in Graph Neural Networks
por: Hosseini, Ryien, et al.
Publicado: (2025)
por: Hosseini, Ryien, et al.
Publicado: (2025)
Explainability and Continual Learning meet Federated Learning at the Network Edge
por: Tsouparopoulos, Thomas, et al.
Publicado: (2025)
por: Tsouparopoulos, Thomas, et al.
Publicado: (2025)
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks
por: Chen, Zhaoliang, et al.
Publicado: (2024)
por: Chen, Zhaoliang, et al.
Publicado: (2024)
Spectral Theory for Edge Pruning in Asynchronous Recurrent Graph Neural Networks
por: Bessone, Nicolas
Publicado: (2025)
por: Bessone, Nicolas
Publicado: (2025)
Graph Neural Network with One-side Edge Sampling for Fraud Detection
por: Trieu, Hoang Hiep
Publicado: (2026)
por: Trieu, Hoang Hiep
Publicado: (2026)
Influence Functions for Edge Edits in Non-Convex Graph Neural Networks
por: Heo, Jaeseung, et al.
Publicado: (2025)
por: Heo, Jaeseung, et al.
Publicado: (2025)
Feature-based Graph Attention Networks Improve Online Continual Learning
por: Sim, Adjovi, et al.
Publicado: (2025)
por: Sim, Adjovi, et al.
Publicado: (2025)
Improving Fairness in Graph Neural Networks via Counterfactual Debiasing
por: Wo, Zengyi, et al.
Publicado: (2025)
por: Wo, Zengyi, et al.
Publicado: (2025)
Coden: Efficient Temporal Graph Neural Networks for Continuous Prediction
por: Zhu, Zulun, et al.
Publicado: (2026)
por: Zhu, Zulun, et al.
Publicado: (2026)
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
por: Zheng, Zinan, et al.
Publicado: (2024)
por: Zheng, Zinan, et al.
Publicado: (2024)
Beyond Edge Deletion: A Comprehensive Approach to Counterfactual Explanation in Graph Neural Networks
por: De Sanctis, Matteo, et al.
Publicado: (2026)
por: De Sanctis, Matteo, et al.
Publicado: (2026)
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
por: Waghmare, Govind, et al.
Publicado: (2026)
por: Waghmare, Govind, et al.
Publicado: (2026)
Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
por: Lischka, Attila, et al.
Publicado: (2025)
por: Lischka, Attila, et al.
Publicado: (2025)
Continuous Spiking Graph Neural Networks
por: Yin, Nan, et al.
Publicado: (2024)
por: Yin, Nan, et al.
Publicado: (2024)
Robust Angular Synchronization via Directed Graph Neural Networks
por: He, Yixuan, et al.
Publicado: (2023)
por: He, Yixuan, et al.
Publicado: (2023)
Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
por: Huang, Zhenhua, et al.
Publicado: (2024)
por: Huang, Zhenhua, et al.
Publicado: (2024)
PQA: Zero-shot Protein Question Answering for Free-form Scientific Enquiry with Large Language Models
por: Carrami, Eli M, et al.
Publicado: (2024)
por: Carrami, Eli M, et al.
Publicado: (2024)
Ejemplares similares
-
DiffeoMorph: Learning to Morph 3D Shapes Using Differentiable Agent-Based Simulations
por: Pahng, Seong Ho, et al.
Publicado: (2025) -
An efficient solution to Hidden Markov Models on trees with coupled branches
por: Vafa, Farzan, et al.
Publicado: (2024) -
Asynchronous Evolution of Deep Neural Network Architectures
por: Liang, Jason, et al.
Publicado: (2023) -
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection
por: Jo, Hayoung, et al.
Publicado: (2024) -
Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
por: Ahn, Seong Jin, et al.
Publicado: (2025)