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| #%% | |
| import jax | |
| import jax.numpy as jnp | |
| import numpy as np | |
| jax.numpy.set_printoptions(precision=6) | |
| # %% [markdown] |
ddrous
/ CoraGraphVisualization.py
Last active
June 28, 2022 11:54
7 Quick Steps to Visualise Your Graph for Machine Learning with Python's DGL, NetworkX, and PyVis
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| import dgl | |
| import networkx as nx | |
| from pyvis.network import Network | |
| # Define number of nodes to show in visualization | |
| nb_nodes_plot = 100 | |
| # Step 1. Load the cora dataset and slice it using DGL | |
| dataset = dgl.data.CoraGraphDataset() | |
| g_dgl = dataset[0].subgraph(list(range(nb_nodes_plot))) |