Investigating GNN Convergence on Large Randomly Generated Graphs with Realistic Node Feature Correlations
Fuente:
arXiv
Saved in:
| Main Author: | Ahmed, Mohammed Zain Ali |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Node Feature Selection For Graph Neural Networks
by: Navarro, Madeline, et al.
Published: (2025)
by: Navarro, Madeline, et al.
Published: (2025)
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024)
by: Dong, Xiangyu, et al.
Published: (2024)
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
by: Cordonnier, Matthieu, et al.
Published: (2023)
by: Cordonnier, Matthieu, et al.
Published: (2023)
General Graph Random Features
by: Reid, Isaac, et al.
Published: (2023)
by: Reid, Isaac, et al.
Published: (2023)
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
by: Soussia, Mayssa, et al.
Published: (2025)
by: Soussia, Mayssa, et al.
Published: (2025)
The Role of Node Features in Graph Pooling
by: von Pichowski, Jan, et al.
Published: (2026)
by: von Pichowski, Jan, et al.
Published: (2026)
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN
by: Wang, Shilong, et al.
Published: (2024)
by: Wang, Shilong, et al.
Published: (2024)
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models
by: Song, Zeyu, et al.
Published: (2023)
by: Song, Zeyu, et al.
Published: (2023)
WildGraph: Realistic Graph-based Trajectory Generation for Wildlife
by: Al-Lawati, Ali, et al.
Published: (2024)
by: Al-Lawati, Ali, et al.
Published: (2024)
Improving the Stability of GNN Force Field Models by Reducing Feature Correlation
by: Zeng, Yujie, et al.
Published: (2025)
by: Zeng, Yujie, et al.
Published: (2025)
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
by: Akansha, S.
Published: (2024)
by: Akansha, S.
Published: (2024)
SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
by: Dong, Xiangyu, et al.
Published: (2025)
by: Dong, Xiangyu, et al.
Published: (2025)
Fast and Effective GNN Training through Sequences of Random Path Graphs
by: Bonchi, Francesco, et al.
Published: (2023)
by: Bonchi, Francesco, et al.
Published: (2023)
Exploring Variational Graph Autoencoders for Distribution Grid Data Generation
by: Abbas, Syed Zain, et al.
Published: (2025)
by: Abbas, Syed Zain, et al.
Published: (2025)
Single-Edge Node Injection Threats to GNN-Based Security Monitoring in Industrial Graph Systems
by: Liang, Wenjie, et al.
Published: (2026)
by: Liang, Wenjie, et al.
Published: (2026)
MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy
by: Jiang, Haitian, et al.
Published: (2023)
by: Jiang, Haitian, et al.
Published: (2023)
MDS-GNN: A Mutual Dual-Stream Graph Neural Network on Graphs with Incomplete Features and Structure
by: Yuan, Peng, et al.
Published: (2024)
by: Yuan, Peng, et al.
Published: (2024)
Implicit Graph Neural Diffusion Networks: Convergence, Generalization, and Over-Smoothing
by: Fu, Guoji, et al.
Published: (2023)
by: Fu, Guoji, et al.
Published: (2023)
A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs
by: Azad, Amitoz, et al.
Published: (2024)
by: Azad, Amitoz, et al.
Published: (2024)
Node Regression on Latent Position Random Graphs via Local Averaging
by: Gjorgjevski, Martin, et al.
Published: (2024)
by: Gjorgjevski, Martin, et al.
Published: (2024)
Provably Convergent Subgraph-wise Sampling for Fast GNN Training
by: Wang, Jie, et al.
Published: (2023)
by: Wang, Jie, et al.
Published: (2023)
TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
by: Liu, Yezi, et al.
Published: (2024)
by: Liu, Yezi, et al.
Published: (2024)
Heterogeneous Graph Generation: A Hierarchical Approach using Node Feature Pooling
by: Ghosh, Hritaban, et al.
Published: (2024)
by: Ghosh, Hritaban, et al.
Published: (2024)
Linear Transformer Topological Masking with Graph Random Features
by: Reid, Isaac, et al.
Published: (2024)
by: Reid, Isaac, et al.
Published: (2024)
SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
by: Zhang, Yuxiang, et al.
Published: (2026)
by: Zhang, Yuxiang, et al.
Published: (2026)
AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs
by: Mahmud, Quazi Ishtiaque, et al.
Published: (2023)
by: Mahmud, Quazi Ishtiaque, et al.
Published: (2023)
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
by: Mukherjee, Kunal, et al.
Published: (2023)
by: Mukherjee, Kunal, et al.
Published: (2023)
Glance for Context: Learning When to Leverage LLMs for Node-Aware GNN-LLM Fusion
by: Loveland, Donald, et al.
Published: (2025)
by: Loveland, Donald, et al.
Published: (2025)
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
by: Hu, Zhengyu, et al.
Published: (2024)
by: Hu, Zhengyu, et al.
Published: (2024)
Subsampling Graphs with GNN Performance Guarantees
by: Jain, Mika Sarkin, et al.
Published: (2025)
by: Jain, Mika Sarkin, et al.
Published: (2025)
Contextual Graph Matching with Correlated Gaussian Features
by: Yarandi, Mohammad Hassan Ahmad, et al.
Published: (2026)
by: Yarandi, Mohammad Hassan Ahmad, et al.
Published: (2026)
PIMPC-GNN: Physics-Informed Multi-Phase Consensus Learning for Enhancing Imbalanced Node Classification in Graph Neural Networks
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
by: Fofanah, Abdul Joseph, et al.
Published: (2026)
Landmark-Based Node Representations for Shortest Path Distance Approximations in Random Graphs
by: Le, My, et al.
Published: (2025)
by: Le, My, et al.
Published: (2025)
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation
by: Yun, Sanggeon, et al.
Published: (2024)
by: Yun, Sanggeon, et al.
Published: (2024)
Deal: Distributed End-to-End GNN Inference for All Nodes
by: Chen, Shiyang, et al.
Published: (2025)
by: Chen, Shiyang, et al.
Published: (2025)
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs
by: Yu, Jianxiang, et al.
Published: (2023)
by: Yu, Jianxiang, et al.
Published: (2023)
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs
by: Cui, Hang, et al.
Published: (2024)
by: Cui, Hang, et al.
Published: (2024)
ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
by: Guo, Jingwei, et al.
Published: (2022)
by: Guo, Jingwei, et al.
Published: (2022)
Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach
by: Hossain, Tanvir, et al.
Published: (2024)
by: Hossain, Tanvir, et al.
Published: (2024)
Online Algorithm for Node Feature Forecasting in Temporal Graphs
by: Rahman, Aniq Ur, et al.
Published: (2024)
by: Rahman, Aniq Ur, et al.
Published: (2024)
Similar Items
-
Adaptive Node Feature Selection For Graph Neural Networks
by: Navarro, Madeline, et al.
Published: (2025) -
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
by: Dong, Xiangyu, et al.
Published: (2024) -
Convergence of Message Passing Graph Neural Networks with Generic Aggregation On Large Random Graphs
by: Cordonnier, Matthieu, et al.
Published: (2023) -
General Graph Random Features
by: Reid, Isaac, et al.
Published: (2023) -
CogGNN: Cognitive Graph Neural Networks in Generative Connectomics
by: Soussia, Mayssa, et al.
Published: (2025)