Questions tagged [gnn]
The gnn tag has no usage guidance.
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My model is only improving when learning rate is 1. Should I be worried?
As the title says my GNN with three layers of GAT (Graph attention layers) is only moving the metrics when the learning rate is 1. As generally the learning rate is (0,1) should I be worried?
Also ...
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ST-GCN: graph convolution operator in Geometry-Aware Interaction Network (GAIN)
I need help implementing the model in this paper:
They have adopted spatio-temporal graph convolution operator in ST-GCN [section 3.1.2]. I've found there is popular libraries available for GCN: ...
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GNN Training loop for node regression
I am currently working with the PYG library on a graph neural network project focused on node regression. In order to train this network, I generate my own collection of graphs using a "for loop.&...
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Is there a test to determine if a feature space is sufficient for a classification problem?
I am working with GNNs for a node classification problem, and I am only able to achieve about 50% accuracy for the training set. I am not able to overfit the model to the training data. This makes me ...
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Are there Explainable GNN methods for node regression tasks?
I am wondering if there are gnn explainable methods for a regression task (e.g., traffic forecasting) where nodes have numerical features and the predicted output is a numerical value. Most of ...
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Is it possible to perform node-level classification and graph-level classification on the same graph? [closed]
I would like to classify the nodes of each graph in a multigraph, and transform the graph structure (or delete some of the nodes).
And then I want to do a graph-level classification problem.
Are there ...
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190
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How to understand the GCN equation?
I understand GCN does message passing with its neighbours to learn the node embedding.
But I don't understand the following equation.
What "tilda" is referring to equation ...
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What is the best GNN for a NMT task?
I am doing a machine translation task using a Graph2Seq graph neutral network.
There are many different variants of GNN:
GCN
GAT
GraphSage
GGNN
Which one would be the most effective for a machine ...
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How to use structural information in a Transformer?
I am performing a Neural Machine Translation (NMT) task. In my case, input data has relational information.
I know I can use a Graph Neural Network (GNN) and use a Graph2Seq model. But I can't find a ...
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