Comments (2)
Thank you very much for your reply. It is truly a great research work.
from graph-convnet-tsp.
Hi @zcajiayin, thank you very much for your interest! Yes, your understanding is exactly correct.
For other domains, you can actually find an implementation of the same Residual Gated GCN model in our Benchmarking-GNNs repository: https://github.com/graphdeeplearning/benchmarking-gnns. The implementation uses Deep Graph Library and enables you to apply this model to chemistry, social networks, and other domains as long as the input is formatted as a graph. DGL ensures that aggregation is only done for local graph neighbors and not fully-connected.
Hope it helps!
from graph-convnet-tsp.
Related Issues (12)
- I can not install concorde solver on my system. HOT 1
- runerror HOT 5
- CuDNN error: CUDNN_STATUS_SUCCESS HOT 2
- Train for 500 nodes HOT 2
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