GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs
Fuente:
arXiv
Guardado en:
| Autores principales: | Xu, Hao, Sang, Shengqi, Bai, Peizhen, Yang, Laurence, Lu, Haiping |
|---|---|
| Formato: | Preprint |
| Publicado: |
2020
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Graph Propagation Transformer for Graph Representation Learning
por: Chen, Zhe, et al.
Publicado: (2023)
por: Chen, Zhe, et al.
Publicado: (2023)
Mask prior-guided denoising diffusion improves inverse protein folding
por: Bai, Peizhen, et al.
Publicado: (2024)
por: Bai, Peizhen, et al.
Publicado: (2024)
HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity
por: Sang, Shilong, et al.
Publicado: (2025)
por: Sang, Shilong, et al.
Publicado: (2025)
Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
por: Yin, Tao, et al.
Publicado: (2025)
por: Yin, Tao, et al.
Publicado: (2025)
Missing-Modality-Aware Graph Neural Network for Cancer Classification
por: Tabakhi, Sina, et al.
Publicado: (2025)
por: Tabakhi, Sina, et al.
Publicado: (2025)
Co-Evolution-Based Metal-Binding Residue Prediction with Graph Neural Networks
por: Rastegari, Sayedmohammadreza, et al.
Publicado: (2025)
por: Rastegari, Sayedmohammadreza, et al.
Publicado: (2025)
Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs
por: Bai, Qijie, et al.
Publicado: (2024)
por: Bai, Qijie, et al.
Publicado: (2024)
HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
por: Zhu, Qiuyu, et al.
Publicado: (2024)
por: Zhu, Qiuyu, et al.
Publicado: (2024)
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
por: Chao, Guoqing, et al.
Publicado: (2025)
por: Chao, Guoqing, et al.
Publicado: (2025)
Generative-Contrastive Heterogeneous Graph Neural Network
por: Wang, Yu, et al.
Publicado: (2024)
por: Wang, Yu, et al.
Publicado: (2024)
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
por: Wong, Zhen Hao, et al.
Publicado: (2024)
por: Wong, Zhen Hao, et al.
Publicado: (2024)
Cayley Graph Propagation
por: Wilson, JJ, et al.
Publicado: (2024)
por: Wilson, JJ, et al.
Publicado: (2024)
Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
por: Zhao, He, et al.
Publicado: (2026)
por: Zhao, He, et al.
Publicado: (2026)
Pep2Prob Benchmark: Predicting Fragment Ion Probability for MS$^2$-based Proteomics
por: Xu, Hao, et al.
Publicado: (2025)
por: Xu, Hao, et al.
Publicado: (2025)
Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
por: Duan, Wei, et al.
Publicado: (2026)
por: Duan, Wei, et al.
Publicado: (2026)
GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection
por: Lu, Qincheng, et al.
Publicado: (2024)
por: Lu, Qincheng, et al.
Publicado: (2024)
Schreier-Coset Graph Propagation
por: Mishra, Aryan, et al.
Publicado: (2025)
por: Mishra, Aryan, et al.
Publicado: (2025)
Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
por: Chu, Yunlong, et al.
Publicado: (2025)
por: Chu, Yunlong, et al.
Publicado: (2025)
Heterophilous Distribution Propagation for Graph Neural Networks
por: Zheng, Zhuonan, et al.
Publicado: (2024)
por: Zheng, Zhuonan, et al.
Publicado: (2024)
Graph Clustering with Cross-View Feature Propagation
por: Duan, Zhixuan, et al.
Publicado: (2024)
por: Duan, Zhixuan, et al.
Publicado: (2024)
Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks
por: Wei, Jianjun, et al.
Publicado: (2024)
por: Wei, Jianjun, et al.
Publicado: (2024)
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
por: Wang, Jiaqi, et al.
Publicado: (2024)
por: Wang, Jiaqi, et al.
Publicado: (2024)
HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
por: Li, Xinyi, et al.
Publicado: (2026)
por: Li, Xinyi, et al.
Publicado: (2026)
Long Range Propagation on Continuous-Time Dynamic Graphs
por: Gravina, Alessio, et al.
Publicado: (2024)
por: Gravina, Alessio, et al.
Publicado: (2024)
Scalable Varied-Density Clustering via Graph Propagation
por: Pham, Ninh, et al.
Publicado: (2025)
por: Pham, Ninh, et al.
Publicado: (2025)
Invariant-Stratified Propagation for Expressive Graph Neural Networks
por: Hevapathige, Asela, et al.
Publicado: (2026)
por: Hevapathige, Asela, et al.
Publicado: (2026)
Learning in Deep Factor Graphs with Gaussian Belief Propagation
por: Nabarro, Seth, et al.
Publicado: (2023)
por: Nabarro, Seth, et al.
Publicado: (2023)
Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs
por: Zou, Xingchen, et al.
Publicado: (2024)
por: Zou, Xingchen, et al.
Publicado: (2024)
RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks
por: Guo, Hao, et al.
Publicado: (2025)
por: Guo, Hao, et al.
Publicado: (2025)
RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
por: Wu, Renzhi, et al.
Publicado: (2025)
por: Wu, Renzhi, et al.
Publicado: (2025)
SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
por: Wang, Wenjun, et al.
Publicado: (2024)
por: Wang, Wenjun, et al.
Publicado: (2024)
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
por: Zhang, Shengzhong, et al.
Publicado: (2023)
por: Zhang, Shengzhong, et al.
Publicado: (2023)
Flexible Infinite-Width Graph Convolutional Neural Networks
por: Anson, Ben, et al.
Publicado: (2024)
por: Anson, Ben, et al.
Publicado: (2024)
AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation
por: Fu, Rong, et al.
Publicado: (2026)
por: Fu, Rong, et al.
Publicado: (2026)
Hyperbolic Heterogeneous Graph Attention Networks
por: Park, Jongmin, et al.
Publicado: (2024)
por: Park, Jongmin, et al.
Publicado: (2024)
Heterogeneous graph attention network improves cancer multiomics integration
por: Tabakhi, Sina, et al.
Publicado: (2024)
por: Tabakhi, Sina, et al.
Publicado: (2024)
Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance
por: Pukowski, Pawel, et al.
Publicado: (2024)
por: Pukowski, Pawel, et al.
Publicado: (2024)
Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach
por: Yang, Yichun, et al.
Publicado: (2024)
por: Yang, Yichun, et al.
Publicado: (2024)
Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
por: Zheng, Yanping, et al.
Publicado: (2025)
por: Zheng, Yanping, et al.
Publicado: (2025)
Knowledge Propagation over Conditional Independence Graphs
por: Chajewska, Urszula, et al.
Publicado: (2023)
por: Chajewska, Urszula, et al.
Publicado: (2023)
Ejemplares similares
-
Graph Propagation Transformer for Graph Representation Learning
por: Chen, Zhe, et al.
Publicado: (2023) -
Mask prior-guided denoising diffusion improves inverse protein folding
por: Bai, Peizhen, et al.
Publicado: (2024) -
HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity
por: Sang, Shilong, et al.
Publicado: (2025) -
Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
por: Yin, Tao, et al.
Publicado: (2025) -
Missing-Modality-Aware Graph Neural Network for Cancer Classification
por: Tabakhi, Sina, et al.
Publicado: (2025)