Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Lai, Yurui, Lin, Xiaoyang, Yang, Renchi, Wang, Hongtao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simple yet Effective Graph Distillation via Clustering
by: Lai, Yurui, et al.
Published: (2025)
by: Lai, Yurui, et al.
Published: (2025)
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
by: Wang, Songbo, et al.
Published: (2025)
by: Wang, Songbo, et al.
Published: (2025)
Effective Clustering for Large Multi-Relational Graphs
by: Lin, Xiaoyang, et al.
Published: (2025)
by: Lin, Xiaoyang, et al.
Published: (2025)
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
by: Zheng, Haoran, et al.
Published: (2025)
by: Zheng, Haoran, et al.
Published: (2025)
Spectral Subspace Clustering for Attributed Graphs
by: Lin, Xiaoyang, et al.
Published: (2024)
by: Lin, Xiaoyang, et al.
Published: (2024)
Leveraging Large Language Models for Effective Label-free Node Classification in Text-Attributed Graphs
by: Zhang, Taiyan, et al.
Published: (2024)
by: Zhang, Taiyan, et al.
Published: (2024)
GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2025)
by: Wang, Hewen, et al.
Published: (2025)
Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
by: Cen, Jiacheng, et al.
Published: (2024)
by: Cen, Jiacheng, et al.
Published: (2024)
SlotGAT: Slot-based Message Passing for Heterogeneous Graph Neural Network
by: Zhou, Ziang, et al.
Published: (2024)
by: Zhou, Ziang, et al.
Published: (2024)
Effective Clustering on Large Attributed Bipartite Graphs
by: Yang, Renchi, et al.
Published: (2024)
by: Yang, Renchi, et al.
Published: (2024)
Rethinking Message Passing Neural Networks with Diffusion Distance-guided Stress Majorization
by: Zheng, Haoran, et al.
Published: (2025)
by: Zheng, Haoran, et al.
Published: (2025)
Score-based Conditional Out-of-Distribution Augmentation for Graph Covariate Shift
by: Wang, Bohan, et al.
Published: (2024)
by: Wang, Bohan, et al.
Published: (2024)
GraSP: Simple yet Effective Graph Similarity Predictions
by: Zheng, Haoran, et al.
Published: (2024)
by: Zheng, Haoran, et al.
Published: (2024)
Mitigating Degree Bias in Signed Graph Neural Networks
by: He, Fang, et al.
Published: (2024)
by: He, Fang, et al.
Published: (2024)
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
by: Wang, Hewen, et al.
Published: (2024)
by: Wang, Hewen, et al.
Published: (2024)
Homophily-aware Supervised Contrastive Counterfactual Augmented Fair Graph Neural Network
by: Kejani, Mahdi Tavassoli, et al.
Published: (2026)
by: Kejani, Mahdi Tavassoli, et al.
Published: (2026)
Self-attention Dual Embedding for Graphs with Heterophily
by: Lai, Yurui, et al.
Published: (2023)
by: Lai, Yurui, et al.
Published: (2023)
Efficient Curvature-aware Graph Network
by: Fei, Chaoqun, et al.
Published: (2025)
by: Fei, Chaoqun, et al.
Published: (2025)
CoATA: Effective Co-Augmentation of Topology and Attribute for Graph Neural Networks
by: Liu, Tao, et al.
Published: (2025)
by: Liu, Tao, et al.
Published: (2025)
BIGNet: Pretrained Graph Neural Network for Embedding Semantic, Spatial, and Topological Data in BIM Models
by: Han, Jin, et al.
Published: (2025)
by: Han, Jin, et al.
Published: (2025)
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs
by: Yang, Yachao, et al.
Published: (2024)
by: Yang, Yachao, et al.
Published: (2024)
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
by: Wong, Zhen Hao, et al.
Published: (2024)
by: Wong, Zhen Hao, et al.
Published: (2024)
Efficient Relation-aware Neighborhood Aggregation in Graph Neural Networks via Tensor Decomposition
by: Baghershahi, Peyman, et al.
Published: (2022)
by: Baghershahi, Peyman, et al.
Published: (2022)
Harnessing Collective Structure Knowledge in Data Augmentation for Graph Neural Networks
by: Ma, Rongrong, et al.
Published: (2024)
by: Ma, Rongrong, et al.
Published: (2024)
Adaptive Local Clustering over Attributed Graphs
by: Zheng, Haoran, et al.
Published: (2025)
by: Zheng, Haoran, et al.
Published: (2025)
DuoGNN: Topology-aware Graph Neural Network with Homophily and Heterophily Interaction-Decoupling
by: Mancini, K., et al.
Published: (2024)
by: Mancini, K., et al.
Published: (2024)
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
by: Cui, Nan, et al.
Published: (2023)
by: Cui, Nan, et al.
Published: (2023)
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, et al.
Published: (2024)
Adaptive Dual Prompting: Hierarchical Debiasing for Fairness-aware Graph Neural Networks
by: Yang, Yuhan, et al.
Published: (2025)
by: Yang, Yuhan, et al.
Published: (2025)
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack
by: Liu, Xin, et al.
Published: (2024)
by: Liu, Xin, et al.
Published: (2024)
Topology-aware Reinforcement Feature Space Reconstruction for Graph Data
by: Ying, Wangyang, et al.
Published: (2024)
by: Ying, Wangyang, et al.
Published: (2024)
Global Confidence Degree Based Graph Neural Network for Financial Fraud Detection
by: Liu, Jiaxun, et al.
Published: (2024)
by: Liu, Jiaxun, et al.
Published: (2024)
Topology-aware Neural Flux Prediction Guided by Physics
by: Jiang, Haoyang, et al.
Published: (2025)
by: Jiang, Haoyang, et al.
Published: (2025)
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
by: Du, Lin, et al.
Published: (2025)
by: Du, Lin, et al.
Published: (2025)
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
by: Sasaki, Yuya
Published: (2025)
by: Sasaki, Yuya
Published: (2025)
A Versatile Framework for Attributed Network Clustering via K-Nearest Neighbor Augmentation
by: Li, Yiran, et al.
Published: (2024)
by: Li, Yiran, et al.
Published: (2024)
Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
by: Wang, Yili
Published: (2024)
by: Wang, Yili
Published: (2024)
Content Augmented Graph Neural Networks
by: Nasrabadi, Fatemeh Gholamzadeh, et al.
Published: (2023)
by: Nasrabadi, Fatemeh Gholamzadeh, et al.
Published: (2023)
Globally Interpretable Graph Learning via Distribution Matching
by: Nian, Yi, et al.
Published: (2023)
by: Nian, Yi, et al.
Published: (2023)
On the Topology Awareness and Generalization Performance of Graph Neural Networks
by: Su, Junwei, et al.
Published: (2024)
by: Su, Junwei, et al.
Published: (2024)
Similar Items
-
Simple yet Effective Graph Distillation via Clustering
by: Lai, Yurui, et al.
Published: (2025) -
Rethinking Semi-Supervised Node Classification with Self-Supervised Graph Clustering
by: Wang, Songbo, et al.
Published: (2025) -
Effective Clustering for Large Multi-Relational Graphs
by: Lin, Xiaoyang, et al.
Published: (2025) -
Cross-Contrastive Clustering for Multimodal Attributed Graphs with Dual Graph Filtering
by: Zheng, Haoran, et al.
Published: (2025) -
Spectral Subspace Clustering for Attributed Graphs
by: Lin, Xiaoyang, et al.
Published: (2024)