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2 votes
1 answer
64 views

How to pass batch of Graphs in GATv2Conv?

I have a batched input to GATv2Conv with node matrix of shape [batch_sz , num_nodes , node_feature_dim] , but the GATv2Conv accepts input of dim 2 ,searching through the internet , I found some ...
Sarvagya Porwal's user avatar
1 vote
1 answer
202 views

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 ...
Exploring's user avatar
  • 353
1 vote
1 answer
844 views

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 ...
Achiles Br's user avatar
0 votes
1 answer
168 views

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 ...
Exploring's user avatar
  • 353
0 votes
3 answers
145 views

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 ...
DataDoge's user avatar
0 votes
1 answer
207 views

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 ...
Exploring's user avatar
  • 353
0 votes
0 answers
93 views

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: ...
Kholdarbekov's user avatar
0 votes
0 answers
168 views

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.&...
Zahraa's user avatar
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0 votes
1 answer
39 views

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 ...
FineFynmen's user avatar