Cover Image

Scalable Heterogeneous Graph Learning via Heterogeneous-aware Orthogonal Prototype Experts

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhou, Wei, Huang, Hong, Shi, Ruize, Liu, Bang
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning
by: Yu, En, et al.
Published: (2025)

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

CHoE: Cross-Domain Heterogeneous Graph Prompt Learning via Structure-Conditioned Experts
by: Li, Peiyuan, et al.
Published: (2026)

Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning
by: Wei, Chu-Yuan, et al.
Published: (2025)

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
by: Guo, Zihao, et al.
Published: (2024)

Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
by: Wang, Yili
Published: (2024)

Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data
by: Qi, Lele, et al.
Published: (2025)

Enhancing Visual Representation with Textual Semantics: Textual Semantics-Powered Prototypes for Heterogeneous Federated Learning
by: Wu, Xinghao, et al.
Published: (2025)

HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts
by: Fang, Zihan, et al.
Published: (2026)

Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
by: Chen, Xi, et al.
Published: (2025)

Mixture of Heterogeneous Grouped Experts for Language Modeling
by: Ma, Zhicheng, et al.
Published: (2026)

Concept Heterogeneity-aware Representation Steering
by: Abdullaev, Laziz U., et al.
Published: (2026)

Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion
by: Liu, Ye, et al.
Published: (2025)

Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
by: Ding, Pengfei, et al.
Published: (2024)

Exploring Subnetwork Interactions in Heterogeneous Brain Network via Prior-Informed Graph Learning
by: Liu, Siyu, et al.
Published: (2026)

HGMP:Heterogeneous Graph Multi-Task Prompt Learning
by: Jiao, Pengfei, et al.
Published: (2025)

FedRD: Reducing Divergences for Generalized Federated Learning via Heterogeneity-aware Parameter Guidance
by: Wang, Kaile, et al.
Published: (2026)

Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
by: Fang, Zihan, et al.
Published: (2026)

Heterogeneous Multi-Agent Reinforcement Learning with Attention for Cooperative and Scalable Feature Transformation
by: Zhe, Tao, et al.
Published: (2025)

Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
by: Chen, Qin, et al.
Published: (2025)

HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction
by: Zhang, Qin-Yi, et al.
Published: (2026)

Graph-RHO: Critical-path-aware Heterogeneous Graph Network for Long-Horizon Flexible Job-Shop Scheduling
by: Li, Yujie, et al.
Published: (2026)

HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs
by: Xiao, Yongkang, et al.
Published: (2025)

Modality as Heterogeneity: Node Splitting and Graph Rewiring for Multimodal Graph Learning
by: Zhang, Yihan, et al.
Published: (2026)

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

Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection
by: Lu, Ruiying, et al.
Published: (2025)

Simple and Efficient Heterogeneous Temporal Graph Neural Network
by: Wang, Yili, et al.
Published: (2025)

Refining Latent Representations: A Generative SSL Approach for Heterogeneous Graph Learning
by: Hu, Yulan, et al.
Published: (2023)

Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning
by: Kim, Jongwoo, et al.
Published: (2024)

Multi-task Heterogeneous Graph Learning on Electronic Health Records
by: Chan, Tsai Hor, et al.
Published: (2024)

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
by: Ding, Mucong, et al.
Published: (2024)

HGEN: Heterogeneous Graph Ensemble Networks
by: Shen, Jiajun, et al.
Published: (2025)

DiffGraph: Heterogeneous Graph Diffusion Model
by: Li, Zongwei, et al.
Published: (2025)

Robust Heterogeneous Analog-Digital Computing for Mixture-of-Experts Models with Theoretical Generalization Guarantees
by: Chowdhury, Mohammed Nowaz Rabbani, et al.
Published: (2026)

GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
by: An, Bang, et al.
Published: (2024)

MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs
by: Chen, Jiawen, et al.
Published: (2025)

Robust Federated Learning on Edge Devices with Domain Heterogeneity
by: Le, Huy Q., et al.
Published: (2025)

A Recent Survey of Heterogeneous Transfer Learning
by: Bao, Runxue, et al.
Published: (2023)

Deep Learning Inference on Heterogeneous Mobile Processors: Potentials and Pitfalls
by: Liu, Sicong, et al.
Published: (2024)

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
by: Jin, Hong, et al.
Published: (2025)