Hello I would like to use LINE very much within a Jupyter hub. If I run the following example code, everything works without problems and impressively fast.
However, as soon as I use my own data, the core crashes during app.train(). I have selected a very small sample of 200 edges.
The kernel for network/line.ipynb appears to have died. It will restart automatically.
So i assume that the crash of the kernel is due to the way i enter my data
app = gap.GraphApplication(dim=128)
app.load(file_name = "data/edges_list_2021_weight.txt")
loading graph from data/edges_list_2021_weight.txt
<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<
Graph<uint32>
------------------ Graph -------------------
#vertex: 358, #edge: 200
as undirected: yes, normalization: no
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
app.build()
[time] GraphApplication.build: 0.0535276 s
app.train()
with open('data/edges_list_2021_test.csv', "r") as fin, open('data/edges_list_2021_weight.txt', "w") as fout:
for line in fin:
fout.write(line.replace(",", "\t"))
Hello I would like to use LINE very much within a Jupyter hub. If I run the following example code, everything works without problems and impressively fast.
However, as soon as I use my own data, the core crashes during app.train(). I have selected a very small sample of 200 edges.
The kernel for network/line.ipynb appears to have died. It will restart automatically.
So i assume that the crash of the kernel is due to the way i enter my datathe data looks like
and is created with
64 RAM 16 CPU NVIDIA A40 12 RAM