SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
Fuente:
arXiv
Guardado en:
| Autores principales: | Gu, Xizhi, Li, Hongzheng, Gao, Shihong, Zhang, Xinyan, Chen, Lei, Shao, Yingxia |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
DS-Span: Single-Phase Discriminative Subgraph Mining for Efficient Graph Embeddings
por: Kaiser, Yeamin, et al.
Publicado: (2025)
por: Kaiser, Yeamin, et al.
Publicado: (2025)
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
por: Lin, Zhenyu, et al.
Publicado: (2024)
por: Lin, Zhenyu, et al.
Publicado: (2024)
Scaling Bidirectional Spans and Span Violations in Attention Mechanism
por: Kim, Jongwook, et al.
Publicado: (2025)
por: Kim, Jongwook, et al.
Publicado: (2025)
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
por: Zheng, Ziyu, et al.
Publicado: (2026)
por: Zheng, Ziyu, et al.
Publicado: (2026)
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
por: Niam, Arefin, et al.
Publicado: (2025)
por: Niam, Arefin, et al.
Publicado: (2025)
SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
por: Zhang, Yuxiang, et al.
Publicado: (2026)
por: Zhang, Yuxiang, et al.
Publicado: (2026)
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
por: Ding, Mucong, et al.
Publicado: (2024)
por: Ding, Mucong, et al.
Publicado: (2024)
Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets
por: Xue, Bo, et al.
Publicado: (2026)
por: Xue, Bo, et al.
Publicado: (2026)
SpanNorm: Reconciling Training Stability and Performance in Deep Transformers
por: Wang, Chao, et al.
Publicado: (2026)
por: Wang, Chao, et al.
Publicado: (2026)
Unbiased GNN Learning via Fairness-Aware Subgraph Diffusion
por: Alchihabi, Abdullah, et al.
Publicado: (2024)
por: Alchihabi, Abdullah, et al.
Publicado: (2024)
The Laplacian Keyboard: Beyond the Linear Span
por: Chandrasekar, Siddarth, et al.
Publicado: (2026)
por: Chandrasekar, Siddarth, et al.
Publicado: (2026)
LiGNN: Graph Neural Networks at LinkedIn
por: Borisyuk, Fedor, et al.
Publicado: (2024)
por: Borisyuk, Fedor, et al.
Publicado: (2024)
Towards Faithful Class-level Self-explainability in Graph Neural Networks by Subgraph Dependencies
por: Liu, Fanzhen, et al.
Publicado: (2025)
por: Liu, Fanzhen, et al.
Publicado: (2025)
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification
por: Zhang, Xin, et al.
Publicado: (2024)
por: Zhang, Xin, et al.
Publicado: (2024)
LightGNN: Simple Graph Neural Network for Recommendation
por: Chen, Guoxuan, et al.
Publicado: (2025)
por: Chen, Guoxuan, et al.
Publicado: (2025)
Learning to Reason for Hallucination Span Detection
por: Su, Hsuan, et al.
Publicado: (2025)
por: Su, Hsuan, et al.
Publicado: (2025)
GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph
por: Luo, Yuebo, et al.
Publicado: (2026)
por: Luo, Yuebo, et al.
Publicado: (2026)
ComFairGNN: Community Fair Graph Neural Network
por: Sium, Yonas, et al.
Publicado: (2024)
por: Sium, Yonas, et al.
Publicado: (2024)
GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures
por: Yang, Yikang, et al.
Publicado: (2026)
por: Yang, Yikang, et al.
Publicado: (2026)
LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection
por: Zhang, Wenlun, et al.
Publicado: (2025)
por: Zhang, Wenlun, et al.
Publicado: (2025)
LPS-GNN : Deploying Graph Neural Networks on Graphs with 100-Billion Edges
por: Cheng, Xu, et al.
Publicado: (2025)
por: Cheng, Xu, et al.
Publicado: (2025)
Disttack: Graph Adversarial Attacks Toward Distributed GNN Training
por: Zhang, Yuxiang, et al.
Publicado: (2024)
por: Zhang, Yuxiang, et al.
Publicado: (2024)
GNNavigator: Towards Adaptive Training of Graph Neural Networks via Automatic Guideline Exploration
por: Qiao, Tong, et al.
Publicado: (2024)
por: Qiao, Tong, et al.
Publicado: (2024)
SF-GNN: Self Filter for Message Lossless Propagation in Deep Graph Neural Network
por: Zhu, Yushan, et al.
Publicado: (2024)
por: Zhu, Yushan, et al.
Publicado: (2024)
PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security
por: Van Langendonck, Louis, et al.
Publicado: (2024)
por: Van Langendonck, Louis, et al.
Publicado: (2024)
Neural Graph Navigation for Intelligent Subgraph Matching
por: Ying, Yuchen, et al.
Publicado: (2025)
por: Ying, Yuchen, et al.
Publicado: (2025)
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
por: Lukyanov, Kirill, et al.
Publicado: (2025)
por: Lukyanov, Kirill, et al.
Publicado: (2025)
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
por: Hoang, Van Thuy, et al.
Publicado: (2024)
por: Hoang, Van Thuy, et al.
Publicado: (2024)
DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
por: Acosta, Carlo Malapad, et al.
Publicado: (2025)
por: Acosta, Carlo Malapad, et al.
Publicado: (2025)
FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network
por: Sverdlov, Yonatan, et al.
Publicado: (2024)
por: Sverdlov, Yonatan, et al.
Publicado: (2024)
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
por: Zhao, Gongpei, et al.
Publicado: (2024)
por: Zhao, Gongpei, et al.
Publicado: (2024)
mHC-GNN: Manifold-Constrained Hyper-Connections for Graph Neural Networks
por: Mishra, Subhankar
Publicado: (2026)
por: Mishra, Subhankar
Publicado: (2026)
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
por: Schneckenreiter, Lisa, et al.
Publicado: (2024)
por: Schneckenreiter, Lisa, et al.
Publicado: (2024)
GSINA: Improving Subgraph Extraction for Graph Invariant Learning via Graph Sinkhorn Attention
por: Yan, Junchi, et al.
Publicado: (2024)
por: Yan, Junchi, et al.
Publicado: (2024)
Hallucinated Span Detection with Multi-View Attention Features
por: Ogasa, Yuya, et al.
Publicado: (2025)
por: Ogasa, Yuya, et al.
Publicado: (2025)
Subgraph Networks Based Contrastive Learning
por: Wang, Jinhuan, et al.
Publicado: (2023)
por: Wang, Jinhuan, et al.
Publicado: (2023)
Token-Efficient Leverage Learning in Large Language Models
por: Zeng, Yuanhao, et al.
Publicado: (2024)
por: Zeng, Yuanhao, et al.
Publicado: (2024)
Pre-Training Protein Bi-level Representation Through Span Mask Strategy On 3D Protein Chains
por: Zhao, Jiale, et al.
Publicado: (2024)
por: Zhao, Jiale, et al.
Publicado: (2024)
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
por: Hao, Yongchang, et al.
Publicado: (2024)
por: Hao, Yongchang, et al.
Publicado: (2024)
GNN-XAR: A Graph Neural Network for Explainable Activity Recognition in Smart Homes
por: Fiori, Michele, et al.
Publicado: (2025)
por: Fiori, Michele, et al.
Publicado: (2025)
Ejemplares similares
-
DS-Span: Single-Phase Discriminative Subgraph Mining for Efficient Graph Embeddings
por: Kaiser, Yeamin, et al.
Publicado: (2025) -
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space
por: Lin, Zhenyu, et al.
Publicado: (2024) -
Scaling Bidirectional Spans and Span Violations in Attention Mechanism
por: Kim, Jongwook, et al.
Publicado: (2025) -
MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training
por: Zheng, Ziyu, et al.
Publicado: (2026) -
RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks
por: Niam, Arefin, et al.
Publicado: (2025)