Cover Image

Tensor Graph Convolutional Network for Dynamic Graph Representation Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Ling, Yuan, Ye
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Condensation-Concatenation Framework for Dynamic Graph Continual Learning
by: Yan, Tingxu, et al.
Published: (2025)

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

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

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

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

Tensor-view Topological Graph Neural Network
by: Wen, Tao, et al.
Published: (2024)

Prompt-Driven Continual Graph Learning
by: Wang, Qi, et al.
Published: (2025)

Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
by: Errica, Federico, et al.
Published: (2023)

Markov Process-Based Graph Convolutional Networks for Entity Classification in Knowledge Graphs
by: Mäkelburg, Johannes, et al.
Published: (2024)

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

Graph Neural Networks for Learning Equivariant Representations of Neural Networks
by: Kofinas, Miltiadis, et al.
Published: (2024)

From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited
by: Wang, Zheng, et al.
Published: (2023)

Learning Network Representations with Disentangled Graph Auto-Encoder
by: Fan, Di, et al.
Published: (2024)

Fast and Robust Contextual Node Representation Learning over Dynamic Graphs
by: Guo, Xingzhi, et al.
Published: (2024)

Boolean Product Graph Neural Networks
by: Wang, Ziyan, et al.
Published: (2024)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
by: Sun, Zhongtian, et al.
Published: (2025)

Learning to Approximate Adaptive Kernel Convolution on Graphs
by: Sim, Jaeyoon, et al.
Published: (2024)

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

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

A Simplifying and Learnable Graph Convolutional Attention Network for Unsupervised Knowledge Graphs Alignment
by: Cai, Weishan, 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)

Exploring Consistency in Graph Representations:from Graph Kernels to Graph Neural Networks
by: Liu, Xuyuan, et al.
Published: (2024)

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

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

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

DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach
by: Chen, Qian, et al.
Published: (2024)

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

EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction
by: Zhong, Haodi, et al.
Published: (2025)

Tensor-Fused Multi-View Graph Contrastive Learning
by: Wu, Yujia, et al.
Published: (2024)

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

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

Towards Fair Graph Representation Learning in Social Networks
by: Zhang, Guixian, et al.
Published: (2024)

Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning
by: Zhai, Zian, et al.
Published: (2025)

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

G-PARC: Graph-Physics Aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics on Unstructured Meshes
by: Beerman, Jack T., et al.
Published: (2026)

Directed Acyclic Graph Structure Learning from Dynamic Graphs
by: Fan, Shaohua, et al.
Published: (2022)

Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias
by: Shi, Zhihao, et al.
Published: (2023)

Graph Neural Diffusion Networks for Semi-supervised Learning
by: Ye, Wei, et al.
Published: (2022)

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