RecommenderSystems
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DeepGraphLearning
In multi-head attention, there is a relu after queries, keys, and values. Is this a correct implementation? The paper did not mention the relu in Eq. 5. Besides, it seems...
local_features中的两层initial_state_layer1和initial_state_layer2如何理解？
会话中的物品顺序
由于会话划分时只使用会话ID进行排序，一个会话内物品的顺序是不是乱序的？ data = data.sort_values(by=['TimeId']).groupby('SessionId')['ItemId'].apply(list).to_dict()
在SocialRec中，samples1和samples2的默认值分别为10和5。如果我没理解错的话samples1代表第二层邻居的数量，samples2代表第一层邻居的数量，这样的话第二层邻居的数量就比第一层邻居的数量还多，与经验不符。而且您的论文中也写到“The neighborhood sample sizes are empirically set to 10 and 15 in the first and second convolutional layers”，请问是少写了一个1吗？
Hi, I'm trying to test the result in the paper _Session-Based Social Recommendation_ on the _Delicious_ datasets . From the paper and datasets, I understand that you consider each session...
May I know if you have published your code for the paper: Ekar: An Explainable Method for Knowledge Aware Recommendation? Thanks!
