:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Li, Rui, Li, Chaozhuo, Shen, Yanming, Zhang, Zeyu, Chen, Xu
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2405.08540
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion with a Linguistic Compass: Steering the Generation of Clinically Plausible Future sMRI Representations for Early MCI Conversion Prediction
by: Tang, Zhihao, et al.
Published: (2025)

Croppable Knowledge Graph Embedding
by: Zhu, Yushan, et al.
Published: (2024)

Causal Structure Representation Learning of Confounders in Latent Space for Recommendation
by: Xu, Hangtong, et al.
Published: (2023)

On Large-scale Evaluation of Embedding Models for Knowledge Graph Completion
by: Shirvani-Mahdavi, Nasim, et al.
Published: (2025)

How to Turn Your Knowledge Graph Embeddings into Generative Models
by: Loconte, Lorenzo, et al.
Published: (2023)

Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)

Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation
by: Zhang, Xiaoxiong, et al.
Published: (2024)

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations
by: Zhang, Xu, et al.
Published: (2026)

Embedding Knowledge Graph in Function Spaces
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)

Knowledge Graph Embedding by Normalizing Flows
by: Xiao, Changyi, et al.
Published: (2024)

RulE: Knowledge Graph Reasoning with Rule Embedding
by: Tang, Xiaojuan, et al.
Published: (2022)

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

A Time-Series Foundation Model by Universal Delay Embedding
by: Wang, Zijian, et al.
Published: (2025)

Embedding Knowledge Graphs in Degenerate Clifford Algebras
by: Teyou, Louis Mozart Kamdem, et al.
Published: (2024)

Fully Hyperbolic Rotation for Knowledge Graph Embedding
by: Liang, Qiuyu, et al.
Published: (2024)

Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
by: Wang, Kai, et al.
Published: (2024)

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

Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification
by: Zhang, Xiaoxiong, et al.
Published: (2024)

Local-Curvature-Aware Knowledge Graph Embedding: An Extended Ricci Flow Approach
by: Luo, Zhengquan, et al.
Published: (2025)

KAN-FIF: Spline-Parameterized Lightweight Physics-based Tropical Cyclone Estimation on Meteorological Satellite
by: Shen, Jiakang, et al.
Published: (2026)

Untargeted Adversarial Attack on Knowledge Graph Embeddings
by: Zhao, Tianzhe, et al.
Published: (2024)

Revisiting Catastrophic Forgetting in Continual Knowledge Graph Embedding
by: Pons, Gerard, et al.
Published: (2026)

SKGE: Spherical Knowledge Graph Embedding with Geometric Regularization
by: Quan, Xuan-Truong, et al.
Published: (2025)

OntoAligner Meets Knowledge Graph Embedding Aligners
by: Giglou, Hamed Babaei, et al.
Published: (2025)

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval
by: Li, Zihao, et al.
Published: (2024)

DK-STN: A Domain Knowledge Embedded Spatio-Temporal Network Model for MJO Forecast
by: Li, Hongliang, et al.
Published: (2025)

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024)

Arbitrary Time Information Modeling via Polynomial Approximation for Temporal Knowledge Graph Embedding
by: Fang, Zhiyu, et al.
Published: (2024)

Counterfactual Reasoning with Knowledge Graph Embeddings
by: Zellinger, Lena, et al.
Published: (2024)

Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
by: Zheng, Yilun, et al.
Published: (2025)

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
by: Liu, Yichen, et al.
Published: (2022)

Integrating Meta-Features with Knowledge Graph Embeddings for Meta-Learning
by: Klironomos, Antonis, et al.
Published: (2026)

Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions
by: Chaki, Sayan Kumar
Published: (2026)

Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning
by: Li, Yufeng, et al.
Published: (2024)

Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks
by: Schwabe, Tim, et al.
Published: (2023)

Enhancing Knowledge Graph Completion with GNN Distillation and Probabilistic Interaction Modeling
by: Wang, Lingzhi, et al.
Published: (2025)

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

Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
by: Min, Rui, et al.
Published: (2024)

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

VL-KGE: Vision-Language Models Meet Knowledge Graph Embeddings
by: Efthymiou, Athanasios, et al.
Published: (2026)