Thank you for making the videos and notebooks available! They are very nice and helpful. I saw that the DiffPool model still does not work for the version that is uploaded here. I was wondering if you already have the working model available?

Thank you in advance!

Tutorial 14 and 15 both no longer work with colab and give this error after the second cell

OSError Traceback (most recent call last) in () 2 import os 3 import pandas as pd ----> 4 from torch_geometric.data import InMemoryDataset, Data, download_url, extract_zip 5 from torch_geometric.utils.convert import to_networkx 6 import networkx as nx

6 frames /usr/lib/python3.7/ctypes/init.py in init(self, name, mode, handle, use_errno, use_last_error) 362 363 if handle is None: --> 364 self._handle = _dlopen(self._name, mode) 365 else: 366 self._handle = handle

OSError: /usr/local/lib/python3.7/dist-packages/torch_sparse/_convert_cpu.so: undefined symbol: _ZNK2at6Tensor5zero_Ev

https://github.com/AntonioLonga/PytorchGeometricTutorial/blob/main/Tutorial1/Tutorial1.ipynb

I think this example could be modified for the better. In fact, the nums_layer = 1 parameter should be defined in Net, and a layer of GNNStack should be defined according to this parameter in the forward method. This would solve the problem raised by YouTube video 43:29.

Hi,

Thanks for this great tutorials and videos. Really nice work.

I was wondering about the GATLayer class in the code of tutorial 3. Once the class is made, it is no longer used after the 'Use it' heading in the notebook. Instead, the GATConv from torch geometric is used directly. Then why was the GATLayer class made?

Thanks, VR

while running from torch_geometric.nn import Node2Vec in google colab an error occur OSError: /usr/local/lib/python3.7/dist-packages/torch_sparse/_convert_cpu.so: undefined symbol: _ZNK2at6Tensor5zero_Ev

what should I do?

Thanks for your effort and great work!

I think, In order to make the tutorials more convenient for a wide audience it would be helpful to add a colab version of the notebooks with the special button, that redirects to the http://colab.research.google.com/.

All tutorials can be run in colab via adding the notebook from GitHub and adding the cell with the installation of the pytorch-geometric and all dependencies. But the version with native support would make it more convenient.

Hello, Thank you for the nice tutorial, it helps a lot to get started! I have a few questions concerning Tutorial16.ipynb: 1/ what is the effect of the parameter lin=True? 2/ what's the effect of changing the number of hidden and output channels? 3/ what is the purpose of l1, e1, l2, e2? Best, Claire

Hi, this is a nice tutorial. However, I find that there are some minor problems with the materials.

1. I fond that they are same links so I think you can delete one.
2. In the node2vec practice colab notebook, the current installation requirement will lead the colab environment to break down. I tried this combination and it works: Could you please figure out why? Thanks a lot!