Cover Image

Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mäkelburg, Johannes, Peng, Yiwen, Alam, Mehwish, Weller, Tobias, Acosta, Maribel
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Towards Semantically Enriched Embeddings for Knowledge Graph Completion
by: Alam, Mehwish, et al.
Published: (2023)

Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
by: Du, Junliang, et al.
Published: (2024)

Formal Verification of Graph Convolutional Networks with Uncertain Node Features and Uncertain Graph Structure
by: Ladner, Tobias, et al.
Published: (2024)

A Simplifying and Learnable Graph Convolutional Attention Network for Unsupervised Knowledge Graphs Alignment
by: Cai, Weishan, et al.
Published: (2024)

Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
by: Izadi, Mohammad, et al.
Published: (2024)

Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
by: Li, Chen, et al.
Published: (2023)

Interactive Query Answering on Knowledge Graphs with Soft Entity Constraints
by: Daza, Daniel, et al.
Published: (2025)

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

Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
by: Zhu, ZhiTeng, et al.
Published: (2025)

Knowledge Graphs for Enhancing Large Language Models in Entity Disambiguation
by: Pons, Gerard, et al.
Published: (2025)

Distributed Representations of Entities in Open-World Knowledge Graphs
by: Guo, Lingbing, et al.
Published: (2020)

PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
by: Reklos, Ioannis, et al.
Published: (2025)

A Novel Spatiotemporal Coupling Graph Convolutional Network
by: Bi, Fanghui
Published: (2024)

Generalized Learning of Coefficients in Spectral Graph Convolutional Networks
by: Coşkun, Mustafa, et al.
Published: (2024)

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited
by: He, Mingguo, et al.
Published: (2022)

L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
by: Liang, Qiuyu, et al.
Published: (2024)

Spatial-temporal Graph Convolutional Networks with Diversified Transformation for Dynamic Graph Representation Learning
by: Wang, Ling, et al.
Published: (2024)

Graph Neural Networks vs Convolutional Neural Networks for Graph Domination Number Prediction
by: Davila, Randy, et al.
Published: (2025)

Automated Knowledge Graph Learning in Industrial Processes
by: Ammann, Lolitta, et al.
Published: (2024)

Multi-View Graph Convolution Network for Internal Talent Recommendation Based on Enterprise Emails
by: Kim, Soo Hyun, et al.
Published: (2025)

Benchmarking Fairness-aware Graph Neural Networks in Knowledge Graphs
by: Sasaki, Yuya
Published: (2025)

Deeper Insights into Deep Graph Convolutional Networks: Stability and Generalization
by: Yang, Guangrui, et al.
Published: (2024)

COTET: Cross-view Optimal Transport for Knowledge Graph Entity Typing
by: Hu, Zhiwei, et al.
Published: (2024)

On the Equivalence of Graph Convolution and Mixup
by: Han, Xiaotian, et al.
Published: (2023)

Neurosymbolic Methods for Dynamic Knowledge Graphs
by: Alam, Mehwish, et al.
Published: (2024)

Enhancing Graph Classification Robustness with Singular Pooling
by: Ennadir, Sofiane, et al.
Published: (2025)

Ada-TransGNN: An Air Quality Prediction Model Based On Adaptive Graph Convolutional Networks
by: Wang, Dan, et al.
Published: (2025)

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network
by: Zhang, Weijia, et al.
Published: (2023)

SamGoG: A Sampling-Based Graph-of-Graphs Framework for Imbalanced Graph Classification
by: Wang, Shangyou, et al.
Published: (2025)

Conditional Distribution Learning for Graph Classification
by: Chen, Jie, et al.
Published: (2024)

Spatial-Temporal Interactive Dynamic Graph Convolution Network for Traffic Forecasting
by: Liu, Aoyu, et al.
Published: (2022)

From Graph Diffusion to Graph Classification
by: Xian, Jia Jun Cheng, et al.
Published: (2024)

Coefficient Decomposition for Spectral Graph Convolution
by: Huang, Feng, et al.
Published: (2024)

Towards Improving Long-Tail Entity Predictions in Temporal Knowledge Graphs through Global Similarity and Weighted Sampling
by: Mirtaheri, Mehrnoosh, et al.
Published: (2025)

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets
by: Jiang, Xuhui, et al.
Published: (2023)

Metric Based Few-Shot Graph Classification
by: Crisostomi, Donato, et al.
Published: (2022)

Directly Follows Graphs Go Predictive Process Monitoring With Graph Neural Networks
by: Lischka, Attila, et al.
Published: (2025)

Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
by: Fan, Shaohua, et al.
Published: (2021)

DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
by: Shi, Haoyuan, et al.
Published: (2024)