Cover Image

Beyond the Aggregation Dilemma: Prior-Retaining Decoupled Learning for Multimodal Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yan, Hao, Wang, Xuanru, Yin, Jun, Pan, Shirui, Wang, Senzhang, Zhang, Chengqi
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

Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
by: Yin, Jun, et al.
Published: (2026)

When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning
by: Yan, Hao, et al.
Published: (2024)

Estimating Time Series Foundation Model Transferability via In-Context Learning
by: Yao, Qingren, et al.
Published: (2025)

Raising the Bar in Graph OOD Generalization: Invariant Learning Beyond Explicit Environment Modeling
by: Shen, Xu, et al.
Published: (2025)

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
by: Yin, Jun, et al.
Published: (2026)

Graph Sparsification via Mixture of Graphs
by: Zhang, Guibin, et al.
Published: (2024)

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
by: Wang, Zichen, et al.
Published: (2024)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
by: Miao, Hao, et al.
Published: (2024)

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
by: Yin, Jun, et al.
Published: (2024)

Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation
by: Li, Shiyuan, et al.
Published: (2024)

GOODAT: Towards Test-time Graph Out-of-Distribution Detection
by: Wang, Luzhi, et al.
Published: (2024)

Graph Neural Aggregation-diffusion with Metastability
by: Cui, Kaiyuan, et al.
Published: (2024)

Decision-focused Graph Neural Networks for Combinatorial Optimization
by: Liu, Yang, et al.
Published: (2024)

Trustworthy Graph Neural Networks: Aspects, Methods and Trends
by: Zhang, He, et al.
Published: (2022)

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation
by: Wang, Yiming, et al.
Published: (2025)

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
by: Liu, Jin, et al.
Published: (2023)

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
by: Wang, Kun, et al.
Published: (2024)

An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones
by: Zeng, Taihelong, et al.
Published: (2025)

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks
by: Gupta, Mohit, et al.
Published: (2025)

DIB-OD: Preserving the Invariant Core for Robust Heterogeneous Graph Adaptation via Decoupled Information Bottleneck and Online Distillation
by: Yan, Yang, et al.
Published: (2026)

Beyond Aggregation: Guiding Clients in Heterogeneous Federated Learning
by: Wang, Zijian, et al.
Published: (2025)

LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling
by: Pan, Sheng, et al.
Published: (2026)

LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
by: Xu, Junjie, et al.
Published: (2024)

FreeGAD: A Training-Free yet Effective Approach for Graph Anomaly Detection
by: Zhao, Yunfeng, et al.
Published: (2025)

Transductive Reward Inference on Graph
by: Qu, Bohao, et al.
Published: (2024)

Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation
by: Yan, Yuchen, et al.
Published: (2025)

Guardian: Decoupling Exploration from Safety in Reinforcement Learning
by: Cai, Kaitong, et al.
Published: (2025)

Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity
by: Zhang, Sirui, et al.
Published: (2026)

Humanoid-inspired Causal Representation Learning for Domain Generalization
by: Tao, Ze, et al.
Published: (2025)

Biologically Plausible Brain Graph Transformer
by: Peng, Ciyuan, et al.
Published: (2025)

Jailbroken Frontier Models Retain Their Capabilities
by: Zhu, Daniel, et al.
Published: (2026)

Federated Learning with Graph-Based Aggregation for Traffic Forecasting
by: Banik, Audri, et al.
Published: (2025)

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

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

DA-MoE: Addressing Depth-Sensitivity in Graph-Level Analysis through Mixture of Experts
by: Yao, Zelin, et al.
Published: (2024)

Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering
by: Shi, Yiwei, et al.
Published: (2025)

$\text{M}^{2}$LLM: Multi-view Molecular Representation Learning with Large Language Models
by: Ju, Jiaxin, et al.
Published: (2025)

Beyond Message Passing: A Symbolic Alternative for Expressive and Interpretable Graph Learning
by: Geng, Chuqin, et al.
Published: (2026)

DynaSearcher: Dynamic Knowledge Graph Augmented Search Agent via Multi-Reward Reinforcement Learning
by: Hao, Chuzhan, et al.
Published: (2025)

Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks
by: Yao, Quanming, et al.
Published: (2024)