Saved in:
| Main Authors: | Dogan, Eren, Guthaus, Matthew R. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.03787 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs
by: Onal, Bugra, et al.
Published: (2024)
by: Onal, Bugra, et al.
Published: (2024)
VLSI Hypergraph Partitioning with Deep Learning
by: Khan, Muhammad Hadir, et al.
Published: (2024)
by: Khan, Muhammad Hadir, et al.
Published: (2024)
GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks
by: Khan, Muhammad Hadir, et al.
Published: (2025)
by: Khan, Muhammad Hadir, et al.
Published: (2025)
Padé Approximant Neural Networks for Enhanced Electric Motor Fault Diagnosis Using Vibration and Acoustic Data
by: Kilickaya, Sertac, et al.
Published: (2025)
by: Kilickaya, Sertac, et al.
Published: (2025)
Stable-by-Design Neural Network-Based LPV State-Space Models for System Identification
by: Sertbaş, Ahmet Eren, et al.
Published: (2025)
by: Sertbaş, Ahmet Eren, et al.
Published: (2025)
On the Effectiveness of Random Weights in Graph Neural Networks
by: Bui, Thu, et al.
Published: (2025)
by: Bui, Thu, et al.
Published: (2025)
Learning Beyond the Gaussian Data: Learning Dynamics of Neural Networks on an Expressive and Cumulant-Controllable Data Model
by: Ure, Onat, et al.
Published: (2026)
by: Ure, Onat, et al.
Published: (2026)
Efficient and Effective Implicit Dynamic Graph Neural Network
by: Zhong, Yongjian, et al.
Published: (2024)
by: Zhong, Yongjian, et al.
Published: (2024)
Asymptotic Analysis of Two-Layer Neural Networks after One Gradient Step under Gaussian Mixtures Data with Structure
by: Demir, Samet, et al.
Published: (2025)
by: Demir, Samet, et al.
Published: (2025)
The Interpretable and Effective Graph Neural Additive Networks
by: Bechler-Speicher, Maya, et al.
Published: (2024)
by: Bechler-Speicher, Maya, et al.
Published: (2024)
Improvements to SDXL in NovelAI Diffusion V3
by: Ossa, Juan, et al.
Published: (2024)
by: Ossa, Juan, et al.
Published: (2024)
Implementation of Quantum Implicit Neural Representation in Deterministic and Probabilistic Autoencoders for Image Reconstruction/Generation Tasks
by: Eren, Saadet Müzehher
Published: (2026)
by: Eren, Saadet Müzehher
Published: (2026)
Utilizing Graph Neural Networks for Effective Link Prediction in Microservice Architectures
by: Khodabandeh, Ghazal, et al.
Published: (2025)
by: Khodabandeh, Ghazal, et al.
Published: (2025)
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
by: Ennadir, Sofiane, et al.
Published: (2024)
by: Ennadir, Sofiane, et al.
Published: (2024)
Capacitive Touch Sensor Modeling With a Physics-informed Neural Network and Maxwell's Equations
by: Mo, Ganyong, et al.
Published: (2024)
by: Mo, Ganyong, et al.
Published: (2024)
Analyzing Neural Network Robustness Using Graph Curvature
by: Tan, Shuhang, et al.
Published: (2024)
by: Tan, Shuhang, et al.
Published: (2024)
Explainable Global Wildfire Prediction Models using Graph Neural Networks
by: Chen, Dayou, et al.
Published: (2024)
by: Chen, Dayou, et al.
Published: (2024)
Multimodal Graph Neural Networks for Prognostic Modeling of Brain Network Reorganization
by: Girish, Preksha, et al.
Published: (2025)
by: Girish, Preksha, et al.
Published: (2025)
Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
by: Yang, Xiao, et al.
Published: (2025)
by: Yang, Xiao, et al.
Published: (2025)
GLaDiGAtor: Language-Model-Augmented Multi-Relation Graph Learning for Predicting Disease-Gene Associations
by: Kuzucu, Osman Onur, et al.
Published: (2026)
by: Kuzucu, Osman Onur, et al.
Published: (2026)
Neural Bayes Estimators for Irregular Spatial Data using Graph Neural Networks
by: Sainsbury-Dale, Matthew, et al.
Published: (2023)
by: Sainsbury-Dale, Matthew, et al.
Published: (2023)
Physics-guided Neural Network-based Shaft Power Prediction for Vessels
by: Altan, Dogan, et al.
Published: (2025)
by: Altan, Dogan, et al.
Published: (2025)
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks
by: Qin, Zheyi, et al.
Published: (2023)
by: Qin, Zheyi, et al.
Published: (2023)
Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks
by: Chung, Jaehong, et al.
Published: (2023)
by: Chung, Jaehong, et al.
Published: (2023)
DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design
by: Rodriguez, Hector R., et al.
Published: (2025)
by: Rodriguez, Hector R., et al.
Published: (2025)
DropEdge not Foolproof: Effective Augmentation Method for Signed Graph Neural Networks
by: Zhang, Zeyu, et al.
Published: (2024)
by: Zhang, Zeyu, et al.
Published: (2024)
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks
by: Huang, Keke, et al.
Published: (2023)
by: Huang, Keke, et al.
Published: (2023)
On Stealing Graph Neural Network Models
by: Podhajski, Marcin, et al.
Published: (2025)
by: Podhajski, Marcin, et al.
Published: (2025)
Using Random Noise Equivariantly to Boost Graph Neural Networks Universally
by: Wang, Xiyuan, et al.
Published: (2025)
by: Wang, Xiyuan, et al.
Published: (2025)
Review of blockchain application with Graph Neural Networks, Graph Convolutional Networks and Convolutional Neural Networks
by: Ancelotti, Amy, et al.
Published: (2024)
by: Ancelotti, Amy, et al.
Published: (2024)
IBB Traffic Graph Data: Benchmarking and Road Traffic Prediction Model
by: Olug, Eren, et al.
Published: (2024)
by: Olug, Eren, et al.
Published: (2024)
From the Pursuit of Universal AGI Architecture to Systematic Approach to Heterogenous AGI: Addressing Alignment, Energy, & AGI Grand Challenges
by: Kurshan, Eren
Published: (2023)
by: Kurshan, Eren
Published: (2023)
Model Metamers Reveal Invariances in Graph Neural Networks
by: Xu, Wei, et al.
Published: (2025)
by: Xu, Wei, et al.
Published: (2025)
GIN-Graph: A Generative Interpretation Network for Model-Level Explanation of Graph Neural Networks
by: Yue, Xiao, et al.
Published: (2025)
by: Yue, Xiao, et al.
Published: (2025)
Bridging Domain Adaptation and Graph Neural Networks: A Tensor-Based Framework for Effective Label Propagation
by: Wen, Tao, et al.
Published: (2025)
by: Wen, Tao, et al.
Published: (2025)
Graph in Graph Neural Network
by: Wang, Jiongshu, et al.
Published: (2024)
by: Wang, Jiongshu, et al.
Published: (2024)
Bounded Graph Clustering with Graph Neural Networks
by: Neocosmos, Kibidi, et al.
Published: (2025)
by: Neocosmos, Kibidi, et al.
Published: (2025)
Graph Neural Networks on Graph Databases
by: Lopushanskyy, Dmytro, et al.
Published: (2024)
by: Lopushanskyy, Dmytro, et al.
Published: (2024)
Reduced Optimal Power Flow Using Graph Neural Network
by: Pham, Thuan, et al.
Published: (2022)
by: Pham, Thuan, et al.
Published: (2022)
Solving the Tree Containment Problem Using Graph Neural Networks
by: Dushatskiy, Arkadiy, et al.
Published: (2024)
by: Dushatskiy, Arkadiy, et al.
Published: (2024)
Similar Items
-
GAT-Steiner: Rectilinear Steiner Minimal Tree Prediction Using GNNs
by: Onal, Bugra, et al.
Published: (2024) -
VLSI Hypergraph Partitioning with Deep Learning
by: Khan, Muhammad Hadir, et al.
Published: (2024) -
GATMesh: Clock Mesh Timing Analysis using Graph Neural Networks
by: Khan, Muhammad Hadir, et al.
Published: (2025) -
Padé Approximant Neural Networks for Enhanced Electric Motor Fault Diagnosis Using Vibration and Acoustic Data
by: Kilickaya, Sertac, et al.
Published: (2025) -
Stable-by-Design Neural Network-Based LPV State-Space Models for System Identification
by: Sertbaş, Ahmet Eren, et al.
Published: (2025)