-
I used GraKel on 3 graph classification datasets (MUTAG, ENZYMES, NCI1), it seems that my results are far away from your paper. I dont't know the reason. Could you explain this? Btw, PTC-MR is currentl…
-
- [sub2vec](https://link.springer.com/chapter/10.1007/978-3-319-93037-4_14)/graph2vec not considering the edges with direction, but we need to consider this in our study. (can add constraints to rando…
-
Hi Benedek,
First of all, massive amounts of kudos for all the implementations I discovered from you today. Strong work!
Concerning this graph2vec algorithm... At first glance, it seems identica…
-
Hello,
I'm using the grakel library (thank you for the very clear documentation and the gathering work !) in order to make classification. But i'm confused about some results I have regarding the …
-
# Next paper candidates
Let's propose papers to study next! All papers mentioned in the comments of this issue will be listed in the next vote.
## Last session runner-up(s)
- [How Powerful are G…
-
# Next paper candidates
Let's propose papers to study next! All papers mentioned in the comments of this issue will be listed in the next vote.
## Last session runner-up(s)
- [Learning and Evalua…
-
I just wondering why the name contains deep.
This network cannot deep.. which part can be deep? you mean the last part?
We cannot add graph convolutional layer in the first part of network. Right?
-
### System information
- **Have I written custom code (as opposed to using a stock example script provided in TensorFlow)**:no
- **OS Platform and Distribution (e.g., Linux Ubuntu 16.04)**:Centos 7
…
-
Hello,
I'm wondering if the first order approximation of algorithm Chebyshev ( Weisfeiler-Lehman ) allows the convolutional features to learn rotation invariants of graphs ?
Thank you
-
When the features correlate a little to the network structure, even random weights seem to separate the distribution of ξ (i.e. the representation layer in the VAE) into communities. This is, as [Thom…