Efficient Curvature-aware Graph Network
Fuente:
arXiv
Saved in:
| Main Authors: | Fei, Chaoqun, Zhou, Tinglve, Hao, Tianyong, Li, Yangyang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Dynamic Graph Structure Learning via Resistance Curvature Flow
by: Fei, Chaoqun, et al.
Published: (2026)
by: Fei, Chaoqun, et al.
Published: (2026)
CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection
by: Zhuang, Xinlin, et al.
Published: (2025)
by: Zhuang, Xinlin, et al.
Published: (2025)
CAMEx: Curvature-aware Merging of Experts
by: Nguyen, Dung V., et al.
Published: (2025)
by: Nguyen, Dung V., et al.
Published: (2025)
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
by: Sun, Li, et al.
Published: (2024)
by: Sun, Li, 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)
Analyzing Neural Network Robustness Using Graph Curvature
by: Tan, Shuhang, et al.
Published: (2024)
by: Tan, Shuhang, et al.
Published: (2024)
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks
by: Lai, Yurui, et al.
Published: (2024)
by: Lai, Yurui, et al.
Published: (2024)
Discrete Curvature Graph Information Bottleneck
by: Fu, Xingcheng, et al.
Published: (2024)
by: Fu, Xingcheng, et al.
Published: (2024)
Logic Programming on Knowledge Graph Networks And its Application in Medical Domain
by: Wang, Chuanqing, et al.
Published: (2026)
by: Wang, Chuanqing, et al.
Published: (2026)
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)
Ginger: An Efficient Curvature Approximation with Linear Complexity for General Neural Networks
by: Hao, Yongchang, et al.
Published: (2024)
by: Hao, Yongchang, et al.
Published: (2024)
GRAF: Graph Attention-aware Fusion Networks
by: Kesimoglu, Ziynet Nesibe, et al.
Published: (2023)
by: Kesimoglu, Ziynet Nesibe, et al.
Published: (2023)
Quantized SO(3)-Equivariant Graph Neural Networks for Efficient Molecular Property Prediction
by: Zhou, Haoyu, et al.
Published: (2026)
by: Zhou, Haoyu, et al.
Published: (2026)
Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences
by: Tumma, Neehal, et al.
Published: (2026)
by: Tumma, Neehal, et al.
Published: (2026)
Post-Training Neural Network Pruning using Graph Curvature
by: Tan, Shuhang, et al.
Published: (2026)
by: Tan, Shuhang, et al.
Published: (2026)
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)
FairGU: Fairness-aware Graph Unlearning in Social Networks
by: Luo, Renqiang, et al.
Published: (2026)
by: Luo, Renqiang, et al.
Published: (2026)
Sharpness-aware Federated Graph Learning
by: Li, Ruiyu, et al.
Published: (2025)
by: Li, Ruiyu, et al.
Published: (2025)
Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
by: Sasaki, Yuya
Published: (2025)
by: Sasaki, Yuya
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)
HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method
by: Chen, Ling, et al.
Published: (2021)
by: Chen, Ling, et al.
Published: (2021)
Equipping Federated Graph Neural Networks with Structure-aware Group Fairness
by: Cui, Nan, et al.
Published: (2023)
by: Cui, Nan, et al.
Published: (2023)
Explaining Graph Neural Networks via Structure-aware Interaction Index
by: Bui, Ngoc, et al.
Published: (2024)
by: Bui, Ngoc, et al.
Published: (2024)
Depth-Adaptive Graph Neural Networks via Learnable Bakry-'Emery Curvature
by: Hevapathige, Asela, et al.
Published: (2025)
by: Hevapathige, Asela, et al.
Published: (2025)
PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning
by: Qin, Ye, et al.
Published: (2025)
by: Qin, Ye, et al.
Published: (2025)
Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks
by: Noel, Molly, et al.
Published: (2025)
by: Noel, Molly, et al.
Published: (2025)
Explicit Feature Interaction-aware Graph Neural Networks
by: Kim, Minkyu, et al.
Published: (2022)
by: Kim, Minkyu, et al.
Published: (2022)
Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds
by: Grattarola, Daniele, et al.
Published: (2018)
by: Grattarola, Daniele, et al.
Published: (2018)
Epidemiology-informed Graph Neural Network for Heterogeneity-aware Epidemic Forecasting
by: Zheng, Yufan, et al.
Published: (2024)
by: Zheng, Yufan, et al.
Published: (2024)
Graph Unlearning: Efficient Node Removal in Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2025)
by: Guan, Faqian, et al.
Published: (2025)
Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Yujie, et al.
Published: (2026)
by: Li, Yujie, et al.
Published: (2026)
Boolean-aware Boolean Circuit Classification: A Comprehensive Study on Graph Neural Network
by: Ni, Liwei, et al.
Published: (2024)
by: Ni, Liwei, et al.
Published: (2024)
Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network
by: Tang, Yihong, et al.
Published: (2022)
by: Tang, Yihong, et al.
Published: (2022)
Heterogeneous Hyper-Graph Neural Networks for Context-aware Human Activity Recognition
by: Ge, Wen, et al.
Published: (2024)
by: Ge, Wen, 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)
Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization
by: Meera, Ajith Anil, et al.
Published: (2026)
by: Meera, Ajith Anil, et al.
Published: (2026)
FnRGNN: Distribution-aware Fairness in Graph Neural Network
by: Park, Soyoung, et al.
Published: (2025)
by: Park, Soyoung, et al.
Published: (2025)
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
by: Qiu, Hao, et al.
Published: (2025)
by: Qiu, Hao, et al.
Published: (2025)
Graph Wave Networks
by: Yue, Juwei, et al.
Published: (2025)
by: Yue, Juwei, et al.
Published: (2025)
GraphPI: Efficient Protein Inference with Graph Neural Networks
by: Ma, Zheng, et al.
Published: (2026)
by: Ma, Zheng, et al.
Published: (2026)
Similar Items
-
Dynamic Graph Structure Learning via Resistance Curvature Flow
by: Fei, Chaoqun, et al.
Published: (2026) -
CHIPS: Efficient CLIP Adaptation via Curvature-aware Hybrid Influence-based Data Selection
by: Zhuang, Xinlin, et al.
Published: (2025) -
CAMEx: Curvature-aware Merging of Experts
by: Nguyen, Dung V., et al.
Published: (2025) -
Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
by: Sun, Li, et al.
Published: (2024) -
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
by: Wong, Zhen Hao, et al.
Published: (2024)