Comments (2)
The data transform stage identifies all the 1-hop and 2-hop meta paths by default. Since there are 10 different link types in PubMed, there will be a relatively huge number of meta paths used for training. You may wish to do some selection on those meta paths before feeding them into MAGNN. I would suggest you start with a total of 10 different meta paths and see if that would solve your problem.
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That helped, thanks. I left 1-hop metapaths to start with.
Could you share the metapaths you used to obtain the results presented in the paper, please?
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Related Issues (20)
- DistMult running error HOT 1
- Can you add the weight information into link.dat.test? HOT 1
- Cannot assign node feature "h" on device cuda:0 to a graph on device cpu. HOT 3
- R-GCN RuntimeError: Found dtype Long but expected Float HOT 1
- Error in MAGNN HOT 2
- dgl version conflict HOT 1
- Data missing HOT 1
- unsupervised training with HAN and MAGNN HOT 2
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- May I know how you find the best hyperparameters for the unsupervised task?
- Is it possible to train HAN on weighted graph? HOT 1
- HAN kill! HOT 4
- What does the meta='1, 2, 4, 8' mean in HAN run.sh file?
- Segmentation Fault [TransE] HOT 1
- Dimension out of range (expected to be in range of [-1, 0], but got -2) [HGT] HOT 5
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- Data
- About source of HAN HOT 1
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