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[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
Home Page: https://arxiv.org/abs/2303.00995
2024-06-12 20:52:24.284970
Traceback (most recent call last):
File "loadMat.py", line 165, in
ratingMat,trustMat,categoryMat=filterData(ratingMat,trustMat,categoryMat)
File "loadMat.py", line 74, in filterData
trustMat=trustMat[idx][:,idx]
File "/root/anaconda3/envs/xytf/fjx_HGCL/lib/python3.7/site-packages/scipy/sparse/_index.py", line 33, in getitem
row, col = self._validate_indices(key)
File "/root/anaconda3/envs/xytf/fjx_HGCL/lib/python3.7/site-packages/scipy/sparse/_index.py", line 138, in _validate_indices
row = self._asindices(row, M)
File "/root/anaconda3/envs/xytf/fjx_HGCL/lib/python3.7/site-packages/scipy/sparse/_index.py", line 170, in _asindices
raise IndexError('index (%d) out of range' % max_indx)
IndexError: index (1968701) out of range
请问为什么越界了呢?使用的是dataraw里面的数据
请问ICI.pkl这个文件如何获取的呢
How can we download the dataset you provided in your cloud? It is all chinese and downloading isnt working at all.
I commanded the example code python main.py --dataset Yelp --ssl_temp 0.5 --ssl_ureg 0.06 --ssl_ireg 0.07 --lr 0.058 --reg 0.05 --ssl_beta 0.45 --rank 3
at directory of HGCL where main.py resides.
But I get this error above. Something must be off?
运行的时候发现数据集的文件好像不全
请问这个函数 metaregular所求的损失,是什么意思,论文中好像没有这个公式
There are only two datasets(ratings.csv and trust.csv) in the raw dataset and there are no category.csv.Can you provide it or tell us about its basic structure.Thanks!
Why is my result not as good as what was written in the paper? Is it a parameter setting issue
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