Simple and Efficient Heterogeneous Temporal Graph Neural Network
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yili, Huang, Tairan, He, Changlong, Li, Qiutong, Gao, Jianliang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection
by: Huang, Tairan, et al.
Published: (2025)
by: Huang, Tairan, et al.
Published: (2025)
Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection
by: Huang, Tairan, et al.
Published: (2026)
by: Huang, Tairan, et al.
Published: (2026)
Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
by: Wang, Yili
Published: (2024)
by: Wang, Yili
Published: (2024)
Heterogeneous Temporal Hypergraph Neural Network
by: Liu, Huan, et al.
Published: (2025)
by: Liu, Huan, et al.
Published: (2025)
LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)
by: Chen, Guoxuan, et al.
Published: (2025)
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2023)
by: Dong, Hao, et al.
Published: (2023)
Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
by: Chen, Qin, et al.
Published: (2025)
by: Chen, Qin, et al.
Published: (2025)
Inference Attacks Against Graph Generative Diffusion Models
by: Wang, Xiuling, et al.
Published: (2026)
by: Wang, Xiuling, et al.
Published: (2026)
GRExplainer: A Universal Explanation Method for Temporal Graph Neural Networks
by: Li, Xuyan, et al.
Published: (2025)
by: Li, Xuyan, et al.
Published: (2025)
TDANet: A Novel Temporal Denoise Convolutional Neural Network With Attention for Fault Diagnosis
by: Li, Zhongzhi, et al.
Published: (2024)
by: Li, Zhongzhi, et al.
Published: (2024)
Spectral Greedy Coresets for Graph Neural Networks
by: Ding, Mucong, et al.
Published: (2024)
by: Ding, Mucong, et al.
Published: (2024)
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
by: Su, Junwei, et al.
Published: (2024)
by: Su, Junwei, et al.
Published: (2024)
HGEN: Heterogeneous Graph Ensemble Networks
by: Shen, Jiajun, et al.
Published: (2025)
by: Shen, Jiajun, et al.
Published: (2025)
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One
by: Zhang, Hongyuan, et al.
Published: (2023)
by: Zhang, Hongyuan, et al.
Published: (2023)
Graph Unlearning: Efficient Node Removal in Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2025)
by: Guan, Faqian, et al.
Published: (2025)
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
by: Niresi, Keivan Faghih, et al.
Published: (2026)
by: Niresi, Keivan Faghih, et al.
Published: (2026)
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
by: Wu, Mei, et al.
Published: (2025)
by: Wu, Mei, et al.
Published: (2025)
Detecting High-Potential SMEs with Heterogeneous Graph Neural Networks
by: Qi, Yijiashun, et al.
Published: (2026)
by: Qi, Yijiashun, et al.
Published: (2026)
Deep Graph Neural Point Process For Learning Temporal Interactive Networks
by: Chen, Su, et al.
Published: (2025)
by: Chen, Su, et al.
Published: (2025)
SEBA: Sample-Efficient Black-Box Attacks on Visual Reinforcement Learning
by: Huang, Tairan, et al.
Published: (2025)
by: Huang, Tairan, et al.
Published: (2025)
Edge Prompt Tuning for Graph Neural Networks
by: Fu, Xingbo, et al.
Published: (2025)
by: Fu, Xingbo, et al.
Published: (2025)
TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction
by: Yu, Zhongyi, et al.
Published: (2025)
by: Yu, Zhongyi, et al.
Published: (2025)
Are Heterogeneous Graph Neural Networks Truly Effective? A Causal Perspective
by: Yang, Xiao, et al.
Published: (2025)
by: Yang, Xiao, et al.
Published: (2025)
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks
by: Wang, Zepu, et al.
Published: (2024)
by: Wang, Zepu, et al.
Published: (2024)
SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
by: Gu, Xizhi, et al.
Published: (2024)
by: Gu, Xizhi, et al.
Published: (2024)
Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation
by: Du, Lin, et al.
Published: (2025)
by: Du, Lin, et al.
Published: (2025)
Temporal Decisions: Leveraging Temporal Correlation for Efficient Decisions in Early Exit Neural Networks
by: Sponner, Max, et al.
Published: (2024)
by: Sponner, Max, et al.
Published: (2024)
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs
by: Fang, Lanting, et al.
Published: (2024)
by: Fang, Lanting, et al.
Published: (2024)
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
by: Ma, Yihong, et al.
Published: (2023)
by: Ma, Yihong, et al.
Published: (2023)
Prediction of Bank Credit Ratings using Heterogeneous Topological Graph Neural Networks
by: Liu, Junyi, et al.
Published: (2025)
by: Liu, Junyi, et al.
Published: (2025)
Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
by: Xiao, Mingqing, et al.
Published: (2024)
by: Xiao, Mingqing, et al.
Published: (2024)
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
by: He, Shuqi, et al.
Published: (2024)
by: He, Shuqi, et al.
Published: (2024)
Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)
by: Hu, Lijie, et al.
Published: (2024)
Combinatorial Optimization with Automated Graph Neural Networks
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Cooperative Graph Neural Networks
by: Finkelshtein, Ben, et al.
Published: (2023)
by: Finkelshtein, Ben, et al.
Published: (2023)
STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions
by: Ghaffari, Amirhossein, et al.
Published: (2025)
by: Ghaffari, Amirhossein, et al.
Published: (2025)
FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks
by: Luo, Renqiang, et al.
Published: (2024)
by: Luo, Renqiang, et al.
Published: (2024)
Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
by: Zhao, Mengjie, et al.
Published: (2024)
by: Zhao, Mengjie, et al.
Published: (2024)
Similar Items
-
Can LLMs Find Fraudsters? Multi-level LLM Enhanced Graph Fraud Detection
by: Huang, Tairan, et al.
Published: (2025) -
Detect by Yourself: Self-Designing Agentic Workflows for Few-Shot Graph Anomaly Detection
by: Huang, Tairan, et al.
Published: (2026) -
Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning
by: Wang, Yili
Published: (2024) -
Heterogeneous Temporal Hypergraph Neural Network
by: Liu, Huan, et al.
Published: (2025) -
LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)