jodie
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claws-lab
A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"
Hi, I'm currently encountering 2 problems: 1. When installing requirements.txt Here is the error `ERROR: Could not find a version that satisfies the requirement torch==0.4.1 (from -r requirements.txt (line 4))...
Hello! I want to know how can I run the code on the Windows 10 platform.Could you tell me? Thank you.
It's rather vague how the datasets are constructed. Let's focus on the Reddit dataset for a starter. Quoting directly from the paper, > Reddit post dataset: this public dataset consists...
Hi, I have the following characteristic of dataset in my problem: 52 501 users 32 237 items 78 597 interactions And the following problems: not enough memory: you tried to...
initial_user_embedding = nn.Parameter(F.normalize(torch.rand(args.embedding_dim).cuda(), dim=0)) # the initial user and item embeddings are learned during training as well user_embeddings = initial_user_embedding.repeat(num_users, 1) uers_embeddings.detach_() # Detachment is needed to prevent double propagation...
The Wikipedia dataset source is a little bit vague. Quoting directly from the paper, > Wikipedia edits: this public dataset is one month of edits made by edits on Wikipedia...
Hi, In one of our experiments we excluded features, we get exactly the same results for Reddit and slightly better (MRR=0.759 and Recall@10=0.824) for Wikipedia. So does that mean that...
Hello, Thanks for the work and codes which I enjoy a lot. I have a question about updating the user/item embeddings. I noticed that the user/item embeddings are global variables....
