Comments (1)
xiaoyuxin1002
commented on August 28, 2024
Yes, the model in HAN folder is indeed the HAN model.
NLAH is another model very similar to HAN in the sense that NLAH considers extra non-local features in addition to the local features considered in HAN.
We referred to NLAH implementation in the HAN model because the NLAH implementation supports sampling-based mini-batch training and therefore, we adopted and modified the NLAH implementation for HAN in our HNE project.
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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
- Question about R-GCN training HOT 1
- MAGNN training memory consumption HOT 2
- 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
- About config.dat in HAN HOT 2
- Data
- DistMult running error HOT 2
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