I am using TFGNN library to build a skeleton based graph neural network for action recognition and while running a simple model I keep getting the following error. The model is simple and it is adapted from the official colab
The input GraphSchema…
I'm attempting to write a Graph Neural Network (GNN) to solve the Time Difference of Arrival (TDoA) multilateration problem. The problem statement is as follows: given the known coordinates of 4 sensors, and the complete set of pairwise arrival time…
Sorry for my simple question. My question is that in GraphSage paper, they talked about graphsage being inductive. Is Graphsage needs all of its training time samples in memory during testing? If not, how does it performs test? Since in its…
I am using gcn_conv.GCNConv to perform a GraphUpdate with the following code:
g = graphs[0]
hidden_size = 32
context_features = g.context.get_features_dict()
label = context_features.pop('label')
new_graph =…