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View Code? Open in Web Editor NEW[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
Home Page: https://arxiv.org/abs/2303.00995
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
Home Page: https://arxiv.org/abs/2303.00995
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
How can we download the dataset you provided in your cloud? It is all chinese and downloading isnt working at all.
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
Why is my result not as good as what was written in the paper? Is it a parameter setting issue
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!
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
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