Cover Image

Generative Representation Learning on Hyper-relational Knowledge Graphs via Masked Discrete Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lee, Jaejun, Kim, Seheon, Whang, Joyce Jiyoung
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

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

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

SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
by: Choi, Jinhyeok, et al.
Published: (2024)

Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors
by: Choi, Jinhyeok, et al.
Published: (2024)

Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection
by: Kim, Heehyeon, et al.
Published: (2023)

Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
by: Chung, Chanyoung, et al.
Published: (2025)

Generalizing Hyperedge Expansion for Hyper-relational Knowledge Graph Modeling
by: Liu, Yu, et al.
Published: (2024)

SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
by: Lee, Kyeongryul, et al.
Published: (2025)

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction
by: Rector-Brooks, Jarrid, et al.
Published: (2024)

HyperMono: A Monotonicity-aware Approach to Hyper-Relational Knowledge Representation
by: Hu, Zhiwei, et al.
Published: (2024)

Graph Representation Learning with Diffusion Generative Models
by: Wesego, Daniel
Published: (2025)

Discrete Diffusion Schrödinger Bridge Matching for Graph Transformation
by: Kim, Jun Hyeong, et al.
Published: (2024)

Discrete Dictionary-based Decomposition Layer for Structured Representation Learning
by: Park, Taewon, et al.
Published: (2024)

Fair Class-Incremental Learning using Sample Weighting
by: Park, Jaeyoung, et al.
Published: (2024)

Latent Shadows: The Gaussian-Discrete Duality in Masked Diffusion
by: Chen, Guinan, et al.
Published: (2026)

Sparse Training of Discrete Diffusion Models for Graph Generation
by: Qin, Yiming, et al.
Published: (2023)

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

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
by: Ding, Zifeng, et al.
Published: (2023)

Graffe: Graph Representation Learning via Diffusion Probabilistic Models
by: Chen, Dingshuo, et al.
Published: (2025)

Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning with MLPs
by: Ahn, Seong Jin, et al.
Published: (2025)

PFGuard: A Generative Framework with Privacy and Fairness Safeguards
by: Kim, Soyeon, et al.
Published: (2024)

Learning Flexible Forward Trajectories for Masked Molecular Diffusion
by: Seo, Hyunjin, et al.
Published: (2025)

Representation Learning of Lab Values via Masked AutoEncoders
by: Restrepo, David, et al.
Published: (2025)

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

Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement
by: Lee, Sanghyun, et al.
Published: (2025)

HyperGCL: Multi-Modal Graph Contrastive Learning via Learnable Hypergraph Views
by: Saifuddin, Khaled Mohammed, et al.
Published: (2025)

Federated Knowledge Graph Unlearning via Diffusion Model
by: Liu, Bingchen, et al.
Published: (2024)

Simple and Critical Iterative Denoising: A Recasting of Discrete Diffusion in Graph Generation
by: Boget, Yoann
Published: (2025)

HyperNAS: Enhancing Architecture Representation for NAS Predictor via Hypernetwork
by: Lv, Jindi, et al.
Published: (2025)

Disentangled Generative Graph Representation Learning
by: Hu, Xinyue, et al.
Published: (2024)

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

Exploring Task Unification in Graph Representation Learning via Generative Approach
by: Hu, Yulan, et al.
Published: (2024)

HyperMask: Adaptive Hypernetwork-based Masks for Continual Learning
by: Książek, Kamil, et al.
Published: (2023)

A Simple and Scalable Representation for Graph Generation
by: Jang, Yunhui, et al.
Published: (2023)

Generalized Discrete Diffusion with Self-Correction
by: Wang, Linxuan, et al.
Published: (2026)

M$^3$-Impute: Mask-guided Representation Learning for Missing Value Imputation
by: Yu, Zhongyi, et al.
Published: (2024)

SHAP-based Explanations are Sensitive to Feature Representation
by: Hwang, Hyunseung, et al.
Published: (2025)

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
by: Song, Jiarui, et al.
Published: (2025)

One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
by: Long, Qingyue, et al.
Published: (2025)

Harnessing Discrete Representations For Continual Reinforcement Learning
by: Meyer, Edan, et al.
Published: (2023)