Copertina

GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Xu, Hao, Sang, Shengqi, Bai, Peizhen, Yang, Laurence, Lu, Haiping
Natura:	Preprint
Pubblicazione:	2020
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Graph Propagation Transformer for Graph Representation Learning
di: Chen, Zhe, et al.
Pubblicazione: (2023)

Mask prior-guided denoising diffusion improves inverse protein folding
di: Bai, Peizhen, et al.
Pubblicazione: (2024)

HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity
di: Sang, Shilong, et al.
Pubblicazione: (2025)

Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation
di: Yin, Tao, et al.
Pubblicazione: (2025)

Missing-Modality-Aware Graph Neural Network for Cancer Classification
di: Tabakhi, Sina, et al.
Pubblicazione: (2025)

Co-Evolution-Based Metal-Binding Residue Prediction with Graph Neural Networks
di: Rastegari, Sayedmohammadreza, et al.
Pubblicazione: (2025)

Disentangled Hyperbolic Representation Learning for Heterogeneous Graphs
di: Bai, Qijie, et al.
Pubblicazione: (2024)

HHGT: Hierarchical Heterogeneous Graph Transformer for Heterogeneous Graph Representation Learning
di: Zhu, Qiuyu, et al.
Pubblicazione: (2024)

Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
di: Chao, Guoqing, et al.
Pubblicazione: (2025)

Generative-Contrastive Heterogeneous Graph Neural Network
di: Wang, Yu, et al.
Pubblicazione: (2024)

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
di: Wong, Zhen Hao, et al.
Pubblicazione: (2024)

Cayley Graph Propagation
di: Wilson, JJ, et al.
Pubblicazione: (2024)

Graph Topology Information Enhanced Heterogeneous Graph Representation Learning
di: Zhao, He, et al.
Pubblicazione: (2026)

Pep2Prob Benchmark: Predicting Fragment Ion Probability for MS$^2$-based Proteomics
di: Xu, Hao, et al.
Pubblicazione: (2025)

Heterogeneous Information-Bottleneck Coordination Graphs for Multi-Agent Reinforcement Learning
di: Duan, Wei, et al.
Pubblicazione: (2026)

GCEPNet: Graph Convolution-Enhanced Expectation Propagation for Massive MIMO Detection
di: Lu, Qincheng, et al.
Pubblicazione: (2024)

Schreier-Coset Graph Propagation
di: Mishra, Aryan, et al.
Pubblicazione: (2025)

Adaptive Graph Mixture of Residual Experts: Unsupervised Learning on Diverse Graphs with Heterogeneous Specialization
di: Chu, Yunlong, et al.
Pubblicazione: (2025)

Heterophilous Distribution Propagation for Graph Neural Networks
di: Zheng, Zhuonan, et al.
Pubblicazione: (2024)

Graph Clustering with Cross-View Feature Propagation
di: Duan, Zhixuan, et al.
Pubblicazione: (2024)

Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks
di: Wei, Jianjun, et al.
Pubblicazione: (2024)

Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
di: Wang, Jiaqi, et al.
Pubblicazione: (2024)

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
di: Li, Xinyi, et al.
Pubblicazione: (2026)

Long Range Propagation on Continuous-Time Dynamic Graphs
di: Gravina, Alessio, et al.
Pubblicazione: (2024)

Scalable Varied-Density Clustering via Graph Propagation
di: Pham, Ninh, et al.
Pubblicazione: (2025)

Invariant-Stratified Propagation for Expressive Graph Neural Networks
di: Hevapathige, Asela, et al.
Pubblicazione: (2026)

Learning in Deep Factor Graphs with Gaussian Belief Propagation
di: Nabarro, Seth, et al.
Pubblicazione: (2023)

Space-aware Socioeconomic Indicator Inference with Heterogeneous Graphs
di: Zou, Xingchen, et al.
Pubblicazione: (2024)

RegionGCN: Spatial-Heterogeneity-Aware Graph Convolutional Networks
di: Guo, Hao, et al.
Pubblicazione: (2025)

RankGraph: Unified Heterogeneous Graph Learning for Cross-Domain Recommendation
di: Wu, Renzhi, et al.
Pubblicazione: (2025)

SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learning
di: Wang, Wenjun, et al.
Pubblicazione: (2024)

StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning
di: Zhang, Shengzhong, et al.
Pubblicazione: (2023)

Flexible Infinite-Width Graph Convolutional Neural Networks
di: Anson, Ben, et al.
Pubblicazione: (2024)

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation
di: Fu, Rong, et al.
Pubblicazione: (2026)

Hyperbolic Heterogeneous Graph Attention Networks
di: Park, Jongmin, et al.
Pubblicazione: (2024)

Heterogeneous graph attention network improves cancer multiomics integration
di: Tabakhi, Sina, et al.
Pubblicazione: (2024)

Investigating the Impact of Hard Samples on Accuracy Reveals In-class Data Imbalance
di: Pukowski, Pawel, et al.
Pubblicazione: (2024)

Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach
di: Yang, Yichun, et al.
Pubblicazione: (2024)

Lighter-X: An Efficient and Plug-and-play Strategy for Graph-based Recommendation through Decoupled Propagation
di: Zheng, Yanping, et al.
Pubblicazione: (2025)

Knowledge Propagation over Conditional Independence Graphs
di: Chajewska, Urszula, et al.
Pubblicazione: (2023)