Cover Image

DyMRL: Dynamic Multispace Representation Learning for Multimodal Event Forecasting in Knowledge Graph

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Feng, Liu, Kangzheng, Peng, Teng, Yang, Yu, Xu, Guandong
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

DyG2Vec: Efficient Representation Learning for Dynamic Graphs
by: Alomrani, Mohammad Ali, et al.
Published: (2022)

Dy-mer: An Explainable DNA Sequence Representation Scheme using Dictionary Learning
by: Peng, Zhiyuan, et al.
Published: (2024)

Event-Aware Prompt Learning for Dynamic Graphs
by: Yu, Xingtong, et al.
Published: (2025)

Knowledge Probing for Graph Representation Learning
by: Zhao, Mingyu, et al.
Published: (2024)

CoDy: Counterfactual Explainers for Dynamic Graphs
by: Qu, Zhan, et al.
Published: (2024)

Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting
by: Niu, Luyao, et al.
Published: (2025)

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases
by: Wang, Zhepeng, et al.
Published: (2024)

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning
by: Wang, Xiangmeng, et al.
Published: (2026)

DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
by: Zhao, Mengjie, et al.
Published: (2023)

DySCo: Dynamic Semantic Compression for Effective Long-term Time Series Forecasting
by: Ao, Xiang, et al.
Published: (2026)

Neural Point Process for Learning Spatiotemporal Event Dynamics
by: Zhou, Zihao, et al.
Published: (2021)

CLDG: Contrastive Learning on Dynamic Graphs
by: Xu, Yiming, et al.
Published: (2024)

Material Property Prediction with Element Attribute Knowledge Graphs and Multimodal Representation Learning
by: Huang, Chao, et al.
Published: (2024)

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
by: Liu, Che, et al.
Published: (2025)

Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
by: Yu, He, et al.
Published: (2025)

Time-varying Interaction Graph ODE for Dynamic Graph Representation Learning
by: Wang, Xiaoyi, et al.
Published: (2026)

Robust Multimodal Representation Learning in Healthcare
by: Zhu, Xiaoguang, et al.
Published: (2026)

KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
by: Xu, Peng, et al.
Published: (2026)

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
by: Ke, Songyu, et al.
Published: (2025)

From Observations to Events: Event-Aware World Model for Reinforcement Learning
by: Peng, Zhao-Han, et al.
Published: (2026)

Multimodal Representation Learning using Adaptive Graph Construction
by: Huang, Weichen
Published: (2024)

Multimodal Representation Learning Conditioned on Semantic Relations
by: Qiao, Yang, et al.
Published: (2025)

Reinforcement Learning for Scalable Train Timetable Rescheduling with Graph Representation
by: Yue, Peng, et al.
Published: (2024)

Generative Dynamic Graph Representation Learning for Conspiracy Spoofing Detection
by: Xiang, Sheng, et al.
Published: (2025)

EventTSF: Event-Aware Non-Stationary Time Series Forecasting
by: Ge, Yunfeng, et al.
Published: (2025)

TSI: A Multi-View Representation Learning Approach for Time Series Forecasting
by: Gao, Wentao, et al.
Published: (2024)

ParaDySe: A Parallel-Strategy Switching Framework for Dynamic Sequence Lengths in Transformer
by: Ou, Zhixin, et al.
Published: (2025)

Learning on Multimodal Graphs: A Survey
by: Peng, Ciyuan, et al.
Published: (2024)

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)

SMART: Relation-Aware Learning of Geometric Representations for Knowledge Graphs
by: Amouzouvi, Kossi, et al.
Published: (2025)

PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
by: Lee, Jaejun, et al.
Published: (2024)

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
by: Chung, Chanyoung, et al.
Published: (2023)

CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning
by: Sun, Jinze, et al.
Published: (2024)

DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
by: Cheng, Guanjie, et al.
Published: (2025)

CrimeAlarm: Towards Intensive Intent Dynamics in Fine-grained Crime Prediction
by: Hu, Kaixi, et al.
Published: (2024)

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

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

CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)

Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
by: Chen, Boyu, et al.
Published: (2024)

SiGNN: A Spike-induced Graph Neural Network for Dynamic Graph Representation Learning
by: Chen, Dong, et al.
Published: (2024)