Cover Image

Retrofitting Temporal Graph Neural Networks with Transformer

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Qiang, Yan, Xiao, Wang, Xin, Rao, Susie Xi, Han, Zhichao, Fu, Fangcheng, Zhang, Wentao, Jiang, Jiawei
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dynamic Localisation of Spatial-Temporal Graph Neural Network
by: Duan, Wenying, et al.
Published: (2025)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
by: Wang, Zhe, et al.
Published: (2024)

Efficient Serving for Dynamic Agent Workflows with Prediction-based KV-Cache Management
by: Zheng, Haoyu, et al.
Published: (2026)

Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
by: Duan, Wenying, et al.
Published: (2024)

Towards Scalable and Deep Graph Neural Networks via Noise Masking
by: Liang, Yuxuan, et al.
Published: (2024)

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
by: Zhang, Peiyan, et al.
Published: (2023)

Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2023)

Self-Supervised Graph Neural Networks for Enhanced Feature Extraction in Heterogeneous Information Networks
by: Wei, Jianjun, et al.
Published: (2024)

Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics
by: Wu, Liming, et al.
Published: (2024)

Thinking Short and Right Over Thinking Long: Serving LLM Reasoning Efficiently and Accurately
by: Wang, Yuhang, et al.
Published: (2025)

Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]
by: Jiang, Jiawei, et al.
Published: (2023)

GraphTorque: Torque-Driven Rewiring Graph Neural Network
by: Huang, Sujia, et al.
Published: (2025)

LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction
by: Jiang, Jiawei, et al.
Published: (2023)

NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration
by: Gu, Jiawei, et al.
Published: (2025)

Robust Graph Neural Networks via Unbiased Aggregation
by: Hou, Zhichao, et al.
Published: (2023)

Simple and Efficient Heterogeneous Temporal Graph Neural Network
by: Wang, Yili, et al.
Published: (2025)

GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
by: Li, Xuyan, et al.
Published: (2025)

Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
by: Dong, Xuewen, et al.
Published: (2025)

Temporal Motif Signatures for Temporal Graph Neural Networks
by: Sandfelder, Dylan, et al.
Published: (2026)

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
by: Jiang, Jiawei, et al.
Published: (2023)

Graph Neural Networks as a Substitute for Transformers in Single-Cell Transcriptomics
by: Qi, Jiaxin, et al.
Published: (2025)

Graph Embedding in the Graph Fractional Fourier Transform Domain
by: Sheng, Changjie, et al.
Published: (2025)

AMCEN: An Attention Masking-based Contrastive Event Network for Two-stage Temporal Knowledge Graph Reasoning
by: Yang, Jing, et al.
Published: (2024)

Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks
by: Wang, Hai-Xiao, et al.
Published: (2024)

Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power
by: Wang, Zhe, et al.
Published: (2024)

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
by: Liu, Nian, et al.
Published: (2023)

GTCN-G: A Residual Graph-Temporal Fusion Network for Imbalanced Intrusion Detection
by: Xu, Tianxiang, et al.
Published: (2025)

Hierarchical Classification of Research Fields in the "Web of Science" Using Deep Learning
by: Rao, Susie Xi, et al.
Published: (2023)

Similarity-Navigated Conformal Prediction for Graph Neural Networks
by: Song, Jianqing, et al.
Published: (2024)

Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks
by: Zhang, Han, et al.
Published: (2025)

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction
by: Ji, Jiahao, et al.
Published: (2022)

Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling
by: Zhang, Siwei, et al.
Published: (2024)

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
by: Huang, Zhixin, et al.
Published: (2024)

SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)

Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
by: Jin, Bowen, et al.
Published: (2023)

Demystifying Distributed Training of Graph Neural Networks for Link Prediction
by: Huang, Xin, et al.
Published: (2025)

Accelerating High-Efficiency Organic Photovoltaic Discovery via Pretrained Graph Neural Networks and Generative Reinforcement Learning
by: Qiu, Jiangjie, et al.
Published: (2025)

Temporal Graph Neural Network-Powered Paper Recommendation on Dynamic Citation Networks
by: Shen, Junhao, et al.
Published: (2024)

Graph Structure Prompt Learning: A Novel Methodology to Improve Performance of Graph Neural Networks
by: Huang, Zhenhua, et al.
Published: (2024)

Theoretical Learning Performance of Graph Neural Networks: The Impact of Jumping Connections and Layer-wise Sparsification
by: Sun, Jiawei, et al.
Published: (2025)