PyTorch Geometric

from pyvis.network import Network
import wandb

with wandb.init(project=’graph_vis’) as run:
    net = Network(height="750px", width="100%", bgcolor="#222222", font_color="white")

    # Add the edges from the PyG graph to the PyVis network
    for e in tqdm(g.edge_index.T):
        src = e[0].item()
        dst = e[1].item()

        net.add_node(dst)
        net.add_node(src)
        
        net.add_edge(src, dst, value=0.1)

    # Save the PyVis visualisation to a HTML file
    net.show("graph.html")
    run.log({"eda/graph": wandb.Html("graph.html")})

def create_vis(graph):
    G = to_networkx(graph)
    pos = nx.spring_layout(G)

    edge_x = []
    edge_y = []
    for edge in G.edges():
        x0, y0 = pos[edge[0]]
        x1, y1 = pos[edge[1]]
        edge_x.append(x0)
        edge_x.append(x1)
        edge_x.append(None)
        edge_y.append(y0)
        edge_y.append(y1)
        edge_y.append(None)

    edge_trace = go.Scatter(
        x=edge_x, y=edge_y,
        line=dict(width=0.5, color='#888'),
        hoverinfo='none',
        mode='lines'
    )

    node_x = []
    node_y = []
    for node in G.nodes():
        x, y = pos[node]
        node_x.append(x)
        node_y.append(y)

    node_trace = go.Scatter(
        x=node_x, y=node_y,
        mode='markers',
        hoverinfo='text',
        line_width=2
    )

    fig = go.Figure(data=[edge_trace, node_trace], layout=go.Layout())

    return fig


with wandb.init(project=’visualize_graph’) as run:
    run.log({‘graph’: wandb.Plotly(create_vis(graph))})

with wandb.init(project="my_project", entity="my_entity") as run:
    run.log({
        'train/loss': training_loss,
        'train/acc': training_acc,
        'val/loss': validation_loss,
        'val/acc': validation_acc
        })