SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Haoyu, Liao, Ningyi, Luo, Siqiang |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Heterophilous Distribution Propagation for Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)
by: Zheng, Zhuonan, et al.
Published: (2024)
Revisiting the Message Passing in Heterophilous Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024)
by: Zheng, Zhuonan, et al.
Published: (2024)
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
THeGCN: Temporal Heterophilic Graph Convolutional Network
by: Yan, Yuchen, et al.
Published: (2024)
by: Yan, Yuchen, et al.
Published: (2024)
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
by: He, Silu, et al.
Published: (2023)
by: He, Silu, et al.
Published: (2023)
Discovering Invariant Neighborhood Patterns for Heterophilic Graphs
by: Yang, Jinluan, et al.
Published: (2024)
by: Yang, Jinluan, et al.
Published: (2024)
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning
by: Wu, Yuhao, et al.
Published: (2024)
by: Wu, Yuhao, et al.
Published: (2024)
Uncertainty Estimation for Heterophilic Graphs Through the Lens of Information Theory
by: Fuchsgruber, Dominik, et al.
Published: (2025)
by: Fuchsgruber, Dominik, et al.
Published: (2025)
Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs
by: Park, MoonJeong, et al.
Published: (2024)
by: Park, MoonJeong, et al.
Published: (2024)
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning
by: Lu, Qincheng, et al.
Published: (2024)
by: Lu, Qincheng, et al.
Published: (2024)
Unifews: You Need Fewer Operations for Efficient Graph Neural Networks
by: Liao, Ningyi, et al.
Published: (2024)
by: Liao, Ningyi, et al.
Published: (2024)
The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges
by: Luan, Sitao, et al.
Published: (2024)
by: Luan, Sitao, et al.
Published: (2024)
LoRAP: Low-Rank Aggregation Prompting for Quantized Graph Neural Networks Training
by: Liu, Chenyu, et al.
Published: (2026)
by: Liu, Chenyu, et al.
Published: (2026)
Interpretable and Adaptive Node Classification on Heterophilic Graphs via Combinatorial Scoring and Hybrid Learning
by: Vahidi, Soroush
Published: (2025)
by: Vahidi, Soroush
Published: (2025)
Representation Learning on Heterophilic Graph with Directional Neighborhood Attention
by: Lu, Qincheng, et al.
Published: (2024)
by: Lu, Qincheng, et al.
Published: (2024)
Hypergraph Contrastive Learning for both Homophilic and Heterophilic Hypergraphs
by: Guan, Renchu, et al.
Published: (2025)
by: Guan, Renchu, et al.
Published: (2025)
HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
by: Zhang, Shuaicheng, et al.
Published: (2025)
by: Zhang, Shuaicheng, et al.
Published: (2025)
Heterogeneous Graph Neural Network on Semantic Tree
by: Guan, Mingyu, et al.
Published: (2024)
by: Guan, Mingyu, et al.
Published: (2024)
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
by: Hu, Jun, et al.
Published: (2024)
by: Hu, Jun, et al.
Published: (2024)
Exploring the Potential of Large Language Models for Heterophilic Graphs
by: Wu, Yuxia, et al.
Published: (2024)
by: Wu, Yuxia, et al.
Published: (2024)
Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
by: Qin, Meng, et al.
Published: (2025)
by: Qin, Meng, et al.
Published: (2025)
Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
by: Dong, Yuxin, et al.
Published: (2024)
by: Dong, Yuxin, et al.
Published: (2024)
InfraredGP: Efficient Graph Partitioning via Spectral Graph Neural Networks with Negative Corrections
by: Qin, Meng, et al.
Published: (2025)
by: Qin, Meng, et al.
Published: (2025)
The Expressive Power of Graph Neural Networks: A Survey
by: Zhang, Bingxu, et al.
Published: (2023)
by: Zhang, Bingxu, et al.
Published: (2023)
Manufacturing Service Capability Prediction with Graph Neural Networks
by: Li, Yunqing, et al.
Published: (2024)
by: Li, Yunqing, et al.
Published: (2024)
DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling
by: Liao, Ningyi, et al.
Published: (2024)
by: Liao, Ningyi, et al.
Published: (2024)
A Survey on Learning from Graphs with Heterophily: Recent Advances and Future Directions
by: Gong, Chenghua, et al.
Published: (2024)
by: Gong, Chenghua, et al.
Published: (2024)
Incorporating Heterophily into Graph Neural Networks for Graph Classification
by: Yang, Jiayi, et al.
Published: (2022)
by: Yang, Jiayi, et al.
Published: (2022)
GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
by: Wu, Tao, et al.
Published: (2024)
by: Wu, Tao, et al.
Published: (2024)
Forward Learning of Graph Neural Networks
by: Park, Namyong, et al.
Published: (2024)
by: Park, Namyong, et al.
Published: (2024)
Spectral-Aware Augmentation for Enhanced Graph Representation Learning
by: Yang, Kaiqi, et al.
Published: (2023)
by: Yang, Kaiqi, et al.
Published: (2023)
GNNAnatomy: Rethinking Model-Level Explanations for Graph Neural Networks
by: Lu, Hsiao-Ying, et al.
Published: (2024)
by: Lu, Hsiao-Ying, et al.
Published: (2024)
Graph Neural Networks with Diverse Spectral Filtering
by: Guo, Jingwei, et al.
Published: (2023)
by: Guo, Jingwei, et al.
Published: (2023)
Disambiguated Node Classification with Graph Neural Networks
by: Zhao, Tianxiang, et al.
Published: (2024)
by: Zhao, Tianxiang, et al.
Published: (2024)
Feature Selection and Extraction for Graph Neural Networks
by: Acharya, Deepak Bhaskar, et al.
Published: (2019)
by: Acharya, Deepak Bhaskar, et al.
Published: (2019)
GISExplainer: On Explainability of Graph Neural Networks via Game-theoretic Interaction Subgraphs
by: Xian, Xingping, et al.
Published: (2024)
by: Xian, Xingping, et al.
Published: (2024)
A Unified Graph Selective Prompt Learning for Graph Neural Networks
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks
by: Zheng, Yilun, et al.
Published: (2024)
by: Zheng, Yilun, et al.
Published: (2024)
Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
by: Zhang, Ruizhe, et al.
Published: (2024)
by: Zhang, Ruizhe, et al.
Published: (2024)
Demystifying Oversmoothing in Attention-Based Graph Neural Networks
by: Wu, Xinyi, et al.
Published: (2023)
by: Wu, Xinyi, et al.
Published: (2023)
Similar Items
-
Heterophilous Distribution Propagation for Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024) -
Revisiting the Message Passing in Heterophilous Graph Neural Networks
by: Zheng, Zhuonan, et al.
Published: (2024) -
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network
by: Zheng, Yilun, et al.
Published: (2024) -
THeGCN: Temporal Heterophilic Graph Convolutional Network
by: Yan, Yuchen, et al.
Published: (2024) -
CAT: A Causally Graph Attention Network for Trimming Heterophilic Graph
by: He, Silu, et al.
Published: (2023)