Repository of the paper "Machine learning dismantling and early-warning signals of disintegration in complex systems" by M. Grassia, M. De Domenico and G. Mangioni
Home Page: https://rdcu.be/cwqp3
License: GNU General Public License v3.0
Hi, Marco,
Thank you for the nice work about network dismantling.
I read your instructions and was able to reproduce your results at least partialy, but I could not find what to do with my own data to infer dismanting .
How can I use your pre-trained models to make inferences with my own network data?
I'd like to know about the API a little bit more.
I would be happy if you could help me.
Thank you
shin111
Hello! Your work on Machine learning dismantling and early-warning signals of disintegration in complex systems is very interesting. we have some questions about this work. In reproducing this work, we found the node removal order of the test network arenas-meta from this file "out/df/synth_train_NEW/t_0.18/T_0.1/GAT_Model.csv" which contains the label of each node and the predicted values of GDM model. However, according to the node removal order, the LCC result is very different from the result of your appendix material, what is the reason for this? We are looking forward to hearing from you! Thanks!
Hi! Thanks for your great job : )
I am having some problems reproducing your paper as instructed.
My running environment is:
Ubuntu 20.04
driver version: 465.31
torch.__version__: 1.0.1.post2
torch.cuda.is_available(): True
torch.version.cuda:9.0.176
When running this code:
python network_dismantling/machine_learning/pytorch/reproduce_results.py --help
there is an error displayed:
Traceback (most recent call last):
File "network_dismantling/machine_learning/pytorch/reproduce_results.py", line 33, in <module>
from network_dismantling.machine_learning.pytorch.grid import init_network_provider
File "/home/dddx/NetworkDismantlingML/GDM/network_dismantling/machine_learning/pytorch/grid.py", line 33, in <module>
from network_dismantling.machine_learning.pytorch.models.GAT import GAT_Model
File "/home/dddx/NetworkDismantlingML/GDM/network_dismantling/machine_learning/pytorch/models/GAT.py", line 26, in <module>
from torch_geometric.nn import GATConv
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_geometric/nn/__init__.py", line 2, in <module>
from .data_parallel import DataParallel
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_geometric/nn/data_parallel.py", line 4, in <module>
from torch_geometric.data import Batch
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_geometric/data/__init__.py", line 1, in <module>
from .data import Data
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_geometric/data/data.py", line 4, in <module>
from torch_geometric.utils import (contains_isolated_nodes,
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_geometric/utils/__init__.py", line 2, in <module>
from .scatter import scatter_
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_geometric/utils/scatter.py", line 1, in <module>
import torch_scatter
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_scatter/__init__.py", line 3, in <module>
from .mul import scatter_mul
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_scatter/mul.py", line 3, in <module>
from torch_scatter.utils.ext import get_func
File "/home/dddx/anaconda3/envs/gdm/lib/python3.7/site-packages/torch_scatter/utils/ext.py", line 5, in <module>
import torch_scatter.scatter_cuda
ModuleNotFoundError: No module named 'torch_scatter.scatter_cuda'
I would like to ask how this should be solved.
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