Cover Image

Geometric Mixture-of-Experts with Curvature-Guided Adaptive Routing for Graph Representation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Haifang, Wang, Yu, Li, Timing, Yao, Xinjie, Zhu, Pengfei
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

PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning
by: Qin, Ye, et al.
Published: (2025)

RouteHijack: Routing-Aware Attack on Mixture-of-Experts LLMs
by: Xu, Zhiyuan, et al.
Published: (2026)

Not All Models Suit Expert Offloading: On Local Routing Consistency of Mixture-of-Expert Models
by: Liang, Jingcong, et al.
Published: (2025)

Skill-Based Mixture-of-Experts: Adaptive Routing for Heterogeneous Reasoning via Inferred Skills
by: Chen, Justin Chih-Yao, et al.
Published: (2025)

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts
by: Zhou, Jianan, et al.
Published: (2024)

Routing-Free Mixture-of-Experts
by: Liu, Yilun, et al.
Published: (2026)

Multilingual Routing in Mixture-of-Experts
by: Bandarkar, Lucas, et al.
Published: (2025)

GRIP: Algorithm-Agnostic Machine Unlearning for Mixture-of-Experts via Geometric Router Constraints
by: Zhu, Andy, et al.
Published: (2026)

Neural Inhibition Improves Dynamic Routing and Mixture of Experts
by: Zou, Will Y., et al.
Published: (2025)

HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts
by: He, Neil, et al.
Published: (2025)

Routing Mamba: Scaling State Space Models with Mixture-of-Experts Projection
by: Zhan, Zheng, et al.
Published: (2025)

Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of Experts
by: Hua, Yongxiang, et al.
Published: (2025)

Variational Routing: A Scalable Bayesian Framework for Calibrated Mixture-of-Experts Transformers
by: Li, Albus Yizhuo, et al.
Published: (2026)

ProbMoE: Differentiable Probabilistic Routing for Mixture-of-Experts
by: Zhao, Heng, et al.
Published: (2026)

Probing Semantic Routing in Large Mixture-of-Expert Models
by: Olson, Matthew Lyle, et al.
Published: (2025)

Expert Race: A Flexible Routing Strategy for Scaling Diffusion Transformer with Mixture of Experts
by: Yuan, Yike, et al.
Published: (2025)

Dynamic Adaptive Shared Experts with Grouped Multi-Head Attention Mixture of Experts
by: Li, Cheng, et al.
Published: (2025)

L2R: Low-Rank and Lipschitz-Controlled Routing for Mixture-of-Experts
by: Yang, Minghao, et al.
Published: (2026)

Soft-to-Hard Routing in Sparse Mixture-of-Experts Models
by: Rastegar, Reza
Published: (2026)

Accelerating Mixture-of-Expert Inference with Adaptive Expert Split Mechanism
by: Yan, Jiaming, et al.
Published: (2025)

Graph Knowledge Distillation to Mixture of Experts
by: Rumiantsev, Pavel, et al.
Published: (2024)

Mixture of Weak & Strong Experts on Graphs
by: Zeng, Hanqing, et al.
Published: (2023)

RASA: Routing-Aware Safety Alignment for Mixture-of-Experts Models
by: Liang, Jiacheng, et al.
Published: (2026)

Geometric Regularization in Mixture-of-Experts: The Disconnect Between Weights and Activations
by: Kim, Hyunjun
Published: (2026)

Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts
by: Miao, Changhao, et al.
Published: (2026)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model
by: Liu, Yilun, et al.
Published: (2024)

Multi-Task Vehicle Routing Solver via Mixture of Specialized Experts under State-Decomposable MDP
by: Pan, Yuxin, et al.
Published: (2025)

Mixture-of-Experts Meets In-Context Reinforcement Learning
by: Wu, Wenhao, et al.
Published: (2025)

TRACE: Temporal Routing with Autoregressive Cross-channel Experts for EEG Representation Learning
by: Ma, Fan, et al.
Published: (2026)

Theory on Mixture-of-Experts in Continual Learning
by: Li, Hongbo, et al.
Published: (2024)

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning
by: Zhao, Ziyu, et al.
Published: (2025)

CTAGE: Curvature-Based Topology-Aware Graph Embedding for Learning Molecular Representations
by: Chen, Yili, et al.
Published: (2023)

Modeling Expert Interactions in Sparse Mixture of Experts via Graph Structures
by: Nguyen-Nhat, Minh-Khoi, et al.
Published: (2025)

MoE++: Accelerating Mixture-of-Experts Methods with Zero-Computation Experts
by: Jin, Peng, et al.
Published: (2024)

AKBR: Learning Adaptive Kernel-based Representations for Graph Classification
by: Qian, Feifei, et al.
Published: (2024)

Sparse Models, Sparse Safety: Unsafe Routes in Mixture-of-Experts LLMs
by: Jiang, Yukun, et al.
Published: (2026)

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

Graph-Conditioned Mixture of Graph Neural Network Experts for Traffic Forecasting
by: Ghaffari, Amirhossein, et al.
Published: (2026)

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
by: Zhao, Xinyu, et al.
Published: (2026)

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
by: Liu, Yilun, et al.
Published: (2025)