Related Issues (20)
- Do you have plan to implement unsupervised versions of GraphSAGE? HOT 12
- Applicable license
- so many bugs when gcn=False ? HOT 3
- Does not support very large dataset HOT 1
- TypeError: float() argument must be a string or a number, not 'map' HOT 2
- Memory Leak Problem
- Is this pytorch version support batch-level learning?
- Is this for inductive learning? HOT 4
- Can not run the sample until fix a little code in encoders.py HOT 1
- Can the code for inductive learning on the PPI dataset be added to the PyTorch implementation?
- Potential typo - enc.num_sample[s]
- A question about the learning rate. HOT 1
- Implementation of pool aggregator?
- what is the meaning of "self.base_model = base_model" in encoders.py ? HOT 1
- Can not run the sample beacause of the bug from aggregators.py HOT 1
- question about the GCN type aggregators HOT 4
- question about calling agg1 and enc1 twice
- Is this the implementation of transductive learning? HOT 8
- Dataset seperation
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