Cover Image

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Su, Junwei, Wu, Shan
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

Deep Graph Neural Point Process For Learning Temporal Interactive Networks
by: Chen, Su, et al.
Published: (2025)

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

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
by: Wang, Zepu, et al.
Published: (2024)

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

TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
by: Yu, Zhongyi, et al.
Published: (2025)

Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection
by: Zheng, Zhi, et al.
Published: (2025)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)

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

Trajectory Encoding Temporal Graph Networks
by: Xiong, Jiafeng, et al.
Published: (2025)

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
by: Ghaffari, Amirhossein, et al.
Published: (2025)

HT-GNN: Hyper-Temporal Graph Neural Network for Customer Lifetime Value Prediction in Baidu Ads
by: Zhao, Xiaohui, et al.
Published: (2026)

Riemannian Liquid Spatio-Temporal Graph Network
by: Lu, Liangsi, et al.
Published: (2026)

Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks
by: Sponner, Max, et al.
Published: (2024)

Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction
by: Dong, Pingping, et al.
Published: (2024)

When Do Multi-Agent Systems Outperform? Analysing the Learning Efficiency of Agentic Systems
by: Su, Junwei, et al.
Published: (2026)

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

Discovering Temporally-Aware Reinforcement Learning Algorithms
by: Jackson, Matthew Thomas, et al.
Published: (2024)

Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks
by: Xu, Feiyang, et al.
Published: (2024)

A lightweight Spatial-Temporal Graph Neural Network for Long-term Time Series Forecasting
by: Moges, Henok Tenaw, et al.
Published: (2025)

Spatio-Temporal Demand Prediction for Food Delivery Using Attention-Driven Graph Neural Networks
by: Bhat, Rabia Latief, et al.
Published: (2025)

Community-Aware Temporal Walks: Parameter-Free Representation Learning on Continuous-Time Dynamic Graphs
by: Yu, He, et al.
Published: (2025)

Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
by: Xiao, Mingqing, et al.
Published: (2024)

Evaluating Spatio-Temporal Forecasting Trade-offs Between Graph Neural Networks and Foundation Models
by: Gupta, Ragini, et al.
Published: (2025)

MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning
by: Su, Junwei, et al.
Published: (2024)

WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
by: Theodoropoulos, Theodoros, et al.
Published: (2024)

STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction
by: Luo, Xunlian, et al.
Published: (2023)

Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction
by: Liu, Haiyang, et al.
Published: (2024)

Graph Structure Learning with Temporal Graph Information Bottleneck for Inductive Representation Learning
by: Xiong, Jiafeng, et al.
Published: (2025)

A Selective Learning Method for Temporal Graph Continual Learning
by: Liu, Hanmo, et al.
Published: (2025)

Prompt-Based Spatio-Temporal Graph Transfer Learning
by: Hu, Junfeng, et al.
Published: (2024)

A Temporally Augmented Graph Attention Network for Affordance Classification
by: Chopra, Ami, et al.
Published: (2026)

Temporal Graph Networks for Graph Anomaly Detection in Financial Networks
by: Kim, Yejin, et al.
Published: (2024)

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks
by: Amara, Kenza, et al.
Published: (2022)

Spatio-Temporal Field Neural Networks for Air Quality Inference
by: Feng, Yutong, et al.
Published: (2024)

Deep Spatio-Temporal Neural Network for Air Quality Reanalysis
by: Kheder, Ammar, et al.
Published: (2025)

Spatio-Temporal Graph Unlearning
by: Guo, Qiming, et al.
Published: (2025)

Deep Temporal Graph Clustering
by: Liu, Meng, et al.
Published: (2023)

The Temporal Graph of Bitcoin Transactions
by: Jalili, Vahid
Published: (2025)

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

Developing the Temporal Graph Convolutional Neural Network Model to Predict Hip Replacement using Electronic Health Records
by: Hancox, Zoe, et al.
Published: (2024)