Graph Machine Learning

Posted:   October 05, 2022

Status:   Completed

Tags :   summary

Categories :   Graph-Machine-Learning

Were equations, pictures or diagrams not properly rendered, please refresh the page. If the problem persists, you can contact me.

A Collection of Main Papers on Auto Graph Neural Network and Multi-Task/Transfer Learning

Multi-Task Learning

Paper Title Venue Year Authors Materials Comment
1. A Multi-Task Representation Learning Architecture for Enhanced Graph Classification Frontiers in Neuroscience 2020 Xie et al. [paper]  
2. Multi-Task Learning on Graphs with Node and Graph Level Labels NIPS 2019 Holtz st al. [paper]  
3. Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network ICANN 2019 Avelar st al. [paper]  
4. Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach ICLR/NIPS 2021 Buffelli st al. [paper] [code]  
5. Learning Multi-Task Communication with Message Passing for Sequence Learning AAAI 2019 Liu st al. [paper]  
6. Graphical Multi-Task Learning artiv 2007 Sheldon st al. [paper]  
7. SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks arxiv 2021 He st al. [paper] [code]  
8. A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand TITS 2021 Feng st al. [paper]  
9. Networked Federated Multi-Task Learning arxiv 2021 SarcheshmehPour st al. [paper] [code]  
10. Interactive Behavior Prediction for Heterogeneous Traffic Participants in the Urban Road: A Graph-Neural-Network-Based Multitask Learning Framework Trans in Mechatronics 2021 Li st al. [paper]  
11. Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation AAAI 2021 Huang st al. [paper] [code]  
12. Multi-Task Learning for Knowledge Graph Completion with Pre-trained Language Models ICCL 2020 Kim st al. [paper] [code]  
13. Graph Star Net for Generalized Multi-Task Learning arxiv 2019 Lu st al. [paper] [code]  
14. Cross-Network Learning with Partially Aligned Graph Convolutional Networks KDD 2021 Jiang st al. [paper]  
15. Multi-Task Network Representation Learning Frontiers in Neuroscience 2020 Xie st al. [paper]  
16. Multi-Task Learning Based Network Embedding Frontiers in Neuroscience 2020 Wang st al. [paper]  

Transfer Learning

Paper Title Venue Year Authors Materials Comment
1. Transfer Learning for Deep Learning on Graph-Structured Data AAAI 2017 Lee et al. [paper]  
2. Knowledge Transfer for Out-of-Knowledge-Base Entities A Graph Neural Network Approach IJCAI 2017 Hamaguchi et al. [paper] [code]  
3. Learning Universal Graph Neural Network EmbeddingsWith Aid Of Transfer Learning arxiv 2019 Verma et al. [paper] [code]  
4. Learning Transferable Graph Exploration NIPS 2019 Dai st al. [paper]  
5. Strategies for Pre-training Graph Neural Networks ICLR 2020 Hu st al. [paper] [code]  
6. Graph Few-Shot Learning via Knowledge Transfer AAAI 2020 Yao et al. [paper] [code]  
7. Transfer Learning with Graph Neural Networks for Short-Term Highway Traffic Forecasting ICPR 2021 Mallick et al. [paper] [code]  
8. Adaptive Transfer Learning on Graph Neural Networks KDD 2021 Han et al. [paper] [code]  

Auto Graph Learning

See this [URL].

Disclaimer

If you have any questions, please feel free to contact us. Emails: xiaofengxd@126.com

Comments

Be the first one to comment on this page!
You can use extended GitHub flavored markdown in your comment. Commenting FAQs & Guidelines