Is there a way to draw the graph "features" with networkx ? (-1, 0 and 1 in my example) With my Python code, currently it does not draw it. See code below: import torch from torch_geometric.data import Data edge_index = torch.tensor( [ [0, 1, 1, 2], [1, 0, 2, 1]], dtype=torch.long) #features: one feature for each node #node features <------ x = torch.tensor([[-1], [0], [1]], dtype=torch.float) data = Data(x=x, edge_index=edge_index) do_visualize=1 if do_visualize: import networkx as nx import matplotlib.pyplot as plt edge_list = edge_index.t().tolist() G = nx.Graph() G.add_edges_from(edge_list) G.add_nodes_from(range(x.size(0))) pos = nx.spring_layout(G, seed=1) # fixed seed for reproducibility fig=plt.figure(figsize=(6, 6)) nx.draw_networkx(G, pos, with_labels=True, node_color='lightblue', edge_color='gray', node_size=800) plt.title("Visualization of the Social Network Graph") plt.axis('off') plt.show() Continue reading...