:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Jain, Arihant, Arora, Gundeep, Saladi, Anoop, Dong, Chaosheng
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	https://arxiv.org/abs/2603.09195
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Subsampling Graphs with GNN Performance Guarantees
por: Jain, Mika Sarkin, et al.
Publicado: (2025)

SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
por: Dong, Xiangyu, et al.
Publicado: (2024)

ADMP-GNN: Adaptive Depth Message Passing GNN
por: Abbahaddou, Yassine, et al.
Publicado: (2025)

ContextGNN: Beyond Two-Tower Recommendation Systems
por: Yuan, Yiwen, et al.
Publicado: (2024)

On The Expressive Power of GNN Derivatives
por: Eitan, Yam, et al.
Publicado: (2025)

On GNN explanability with activation rules
por: Veyrin-Forrer, Luca, et al.
Publicado: (2024)

GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
por: Xu, Ruiyao, et al.
Publicado: (2026)

MDAS-GNN: Multi-Dimensional Spatiotemporal GNN with Spatial Diffusion for Urban Traffic Risk Forecasting
por: Gao, Ziyuan
Publicado: (2025)

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training
por: Liu, Renjie, et al.
Publicado: (2024)

MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
por: Jiang, Haitian, et al.
Publicado: (2023)

Spectral GNN via Two-dimensional (2-D) Graph Convolution
por: Li, Guoming, et al.
Publicado: (2024)

Towards Generalized Inverse Reinforcement Learning
por: Dong, Chaosheng, et al.
Publicado: (2024)

Breaking Symmetry Bottlenecks in GNN Readouts
por: Talhi, Mouad, et al.
Publicado: (2026)

Explaining GNN Explanations with Edge Gradients
por: He, Jesse, et al.
Publicado: (2025)

GNN-based Unified Deep Learning
por: Pala, Furkan, et al.
Publicado: (2025)

Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance
por: Aliakbarisani, Roya, et al.
Publicado: (2024)

GnnXemplar: Exemplars to Explanations -- Natural Language Rules for Global GNN Interpretability
por: Armgaan, Burouj, et al.
Publicado: (2025)

TAME: Task Agnostic Continual Learning using Multiple Experts
por: Zhu, Haoran, et al.
Publicado: (2022)

Understanding Expressivity of GNN in Rule Learning
por: Qiu, Haiquan, et al.
Publicado: (2023)

GNN-based Passenger Request Prediction
por: Makhdomi, Aqsa Ashraf, et al.
Publicado: (2023)

An Empirical Study of Realized GNN Expressiveness
por: Wang, Yanbo, et al.
Publicado: (2023)

Optimization of GNN Training Through Half-precision
por: Tarafder, Arnab Kanti, et al.
Publicado: (2024)

Adaptive Graph Coarsening for Efficient GNN Training
por: Olshevskyi, Rostyslav, et al.
Publicado: (2025)

CktGNN: Circuit Graph Neural Network for Electronic Design Automation
por: Dong, Zehao, et al.
Publicado: (2023)

GNN for Structural Displacement Prediction
por: Chang, Hung-Fu, et al.
Publicado: (2026)

MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation
por: Yun, Sanggeon, et al.
Publicado: (2024)

MQ-GNN: A Multi-Queue Pipelined Architecture for Scalable and Efficient GNN Training
por: Ullah, Irfan, et al.
Publicado: (2026)

DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks
por: Dong, Zehao, et al.
Publicado: (2024)

Training a Label-Noise-Resistant GNN with Reduced Complexity
por: Zhao, Rui, et al.
Publicado: (2024)

On the Consistency of GNN Explanations for Malware Detection
por: Shokouhinejad, Hossein, et al.
Publicado: (2025)

Combined track finding with GNN & CKF
por: Heinrich, Lukas, et al.
Publicado: (2024)

Uncertainty in GNN Learning Evaluations: A Comparison Between Measures for Quantifying Randomness in GNN Community Detection
por: Leeney, William, et al.
Publicado: (2023)

PrivGNN: High-Performance Secure Inference for Cryptographic Graph Neural Networks
por: Wang, Fuyi, et al.
Publicado: (2025)

The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
por: Park, MoonJeong, et al.
Publicado: (2025)

Structure based SAT dataset for analysing GNN generalisation
por: Fu, Yi, et al.
Publicado: (2025)

TrendGNN: Towards Understanding of Epidemics, Beliefs, and Behaviors
por: Tian, Mulin, et al.
Publicado: (2025)

An Efficient Subgraph GNN with Provable Substructure Counting Power
por: Yan, Zuoyu, et al.
Publicado: (2023)

Test-time GNN Model Evaluation on Dynamic Graphs
por: Li, Bo, et al.
Publicado: (2025)

On the Robustness of Graph Reduction Against GNN Backdoor
por: Zhu, Yuxuan, et al.
Publicado: (2024)

GNN's Uncertainty Quantification using Self-Distillation
por: Daneshvar, Hirad, et al.
Publicado: (2025)