A Collection of Main Papers on 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] |
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