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tags: 暑假
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# Baselines
## JW (以下都有code)
### DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks ==WSDM2020==


- 依時間分類建T張Graph
- Python 2.7的tf, 在python3上bug有點多 (但win不支援python2的tensorflow)
- ==multi-graph不知道要怎麼建==

### A Contextualized Temporal Attention Mechanism for Sequential Recommendation ==WWW 2020==


- 把item和time同時放入
- 使用kernal function處理time和action space不同的問題

### Graph contextualized self-attention network for session-based recommendation ==IJCAI 2019==


- SR-GNN改良版
- Paper寫是dynamic graph, 但公式看起來沒變

### Session-based Social Recommendation via Dynamic Graph Attention Networks ==WSDM 2018==



- 針對每個User都建grpah
- Python2.7, 範例資料可以跑得起來
- ==需要socail類的graph==

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### Global Context Enhanced Graph Neural Networks for Session-based Recommendation


- SR-GNN的整合版, 對全部item再另外建Graph

### Time Matters: Sequential Recommendation with Complex Temporal Information

- 把目前跟下個動作的絕對時間當成embedding跟item的concat
- 從PA-GNN跟SR-GNN改來

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**Dynamic Graph**
> https://openreview.net/pdf?id=HyePrhR5KX
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**HyperGraph**

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