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# Description
Some time ago you added a feature to SmartRedis to add a byte string array to the Orchestrator. This feature was added in a branch called put_bytes. Would it be possible to merge this f…
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你好，我看您的2024IJP的论文，受益匪浅，想请教您一下关于TGNN代码问题，我看您分享了一些class，请问可以参考您一下模型主体嘛
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@hyanwong, Gil and I have recently discussed details of a "windowed" GNN, which would use either span- or time-based windows to calculate the nearest neighbours of a set of focal nodes. Here's a propo…
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Hi,
I would like to train a DAG-GNN on my own synthetic data. Is there a python command to do so? In the README you only seem to provide the command to re-execute your synthetic datasets.
Cheers…
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I think it's a reasonable claim that all graph convolutional networks (GCN) are graph neural networks (GNN), since they operate on graphs, and are NNs. However, there are graph neural networks that do…
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When I try running the example code with the latest version of pytorch_geometric, I am seeing an error with edge_index and message passing.
Inside GCNConv
` def forward(self, x, edge_index):
…
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Add more info about Memgraph + GNNs in MAGE docs. Info can be found on Notion/Slack.
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Could you provide an example that shows how to perform reinforcement learning with the Graph Convolutions or Graph Attention?
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Why not use nodes to create the gnn layer, but instead use edges.
`
self.gnn_layers = nn.ModuleList([
GNNLayer(input_dim, dim, inter_dim=dim+embed_dim, heads=1) for i in range(edge_se…
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(calm) (base) penghuan@ubuntu:~/code/SimSGT/regression$ sh script/pretrain_GEOM.sh
add args
…