--- tags: meeting --- # 12-26 meeting > 奧丁丁期中成果快完成了 ## 前情提要 ![](https://i.imgur.com/it0el09.jpg) * Abstract值域: 正負0.001~1 ![](https://i.imgur.com/UxrOQo3.png) * Deepwalk值域: 正負0.0001~0.01 ![](https://i.imgur.com/1dCQkGq.png) <!-- * Embedding Predictions: --> <!-- ![](https://i.imgur.com/QBYCN5f.png) --> <!-- * KNN recommend paper id: --> <!-- ![](https://i.imgur.com/NVlXIkD.png) --> * 用Deepwalk做實驗: ![](https://i.imgur.com/GXwE4u9.png) * 五層relu + linear, 加上BatchNormalize, batch_size=128 ![](https://i.imgur.com/6NGURnq.png) * 五層sigmoid + linear, 加上BatchNormalize, batch_size=128 ![](https://i.imgur.com/DRjBCfV.png) * 五層tanh + linear, 加上BatchNormalize, batch_size=128 ![](https://i.imgur.com/tnXSZoZ.png) * 觀察weight ![](https://i.imgur.com/Ot09trE.png) * 每層都做BN ![](https://i.imgur.com/ha7GHMn.png) * 目前predict的paper embedding都很接近 ![](https://i.imgur.com/4MNi5o8.png) <!-- * top 10 citation paper ![](https://i.imgur.com/4KZcGUr.png) --> * 推薦paper的id ![](https://i.imgur.com/vxCwT0w.png) * DeepWalk * MAP@1 ![](https://i.imgur.com/iOLcglo.png) * MAP@30 ![](https://i.imgur.com/UY8waxA.png) * MAP@150 ![](https://i.imgur.com/YWH2E44.png) * 第一版GraphSAGE ![](https://i.imgur.com/Q6Ehfs7.png) 比Deepwalk的高一點 ![](https://i.imgur.com/Y6WaTVa.png) ## BEACON ### 資料處理 ![](https://i.imgur.com/Sk7Du60.png) ![](https://i.imgur.com/kRLJiBL.png) 共98001位作者的session data ## LINE ### First Order ![](https://i.imgur.com/okVgXPs.png) ### Second Order ![](https://i.imgur.com/jcJHS4J.png) ### First Order+Second Order ![](https://i.imgur.com/25hM4Ec.png) Model concept ![](https://i.imgur.com/pWQCyjc.jpg) -->