label propagation on R graph
$begingroup$
I want to run the algorithm label propagation (Xiaojin Zhu(2005),Semi-Supervised Learning with Graphs ) on a retweet graph in R. I have found that exist several functions for similar tasks as: label.prop (RANKS library), sslLabelProp (SSL library) and cluster_label_prop (igraph library). However, neither them result useful to me.
cluster_label_prop is for clustering and it's not my goal -I want to assing labels to every node by a subset known labels.
sslLabelProp doesn't recieved a graph as input.
label.prop appears to be the right one but is not clear how to use it and i haven't found a clear example. The code that I have tried is this:
usuarios<-c(0:(length(V(net))-1))
usuarios[0:50] = -1
usuarios[50:(length(V(net))-1)] = 1
ind.pos2 <- which(usuarios==-1);
labeled<-label.prop(as.matrix(net), ind.pos2, tmax = 10, eps = 1e-05, norm = FALSE);
But I got the error
Error in M %*% pold : requires numeric/complex matrix/vector arguments
How can I tag all my nodes by a subset of them using label propagation?
r graphs
asked 1 hour ago
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
1
New contributor
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I want to run the algorithm label propagation (Xiaojin Zhu(2005),Semi-Supervised Learning with Graphs ) on a retweet graph in R. I have found that exist several functions for similar tasks as: label.prop (RANKS library), sslLabelProp (SSL library) and cluster_label_prop (igraph library). However, neither them result useful to me.
cluster_label_prop is for clustering and it's not my goal -I want to assing labels to every node by a subset known labels.
sslLabelProp doesn't recieved a graph as input.
label.prop appears to be the right one but is not clear how to use it and i haven't found a clear example. The code that I have tried is this:
usuarios<-c(0:(length(V(net))-1))
usuarios[0:50] = -1
usuarios[50:(length(V(net))-1)] = 1
ind.pos2 <- which(usuarios==-1);
labeled<-label.prop(as.matrix(net), ind.pos2, tmax = 10, eps = 1e-05, norm = FALSE);
But I got the error
Error in M %*% pold : requires numeric/complex matrix/vector arguments
How can I tag all my nodes by a subset of them using label propagation?
r graphs
asked 1 hour ago
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
1
New contributor
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
I want to run the algorithm label propagation (Xiaojin Zhu(2005),Semi-Supervised Learning with Graphs ) on a retweet graph in R. I have found that exist several functions for similar tasks as: label.prop (RANKS library), sslLabelProp (SSL library) and cluster_label_prop (igraph library). However, neither them result useful to me.
cluster_label_prop is for clustering and it's not my goal -I want to assing labels to every node by a subset known labels.
sslLabelProp doesn't recieved a graph as input.
label.prop appears to be the right one but is not clear how to use it and i haven't found a clear example. The code that I have tried is this:
usuarios<-c(0:(length(V(net))-1))
usuarios[0:50] = -1
usuarios[50:(length(V(net))-1)] = 1
ind.pos2 <- which(usuarios==-1);
labeled<-label.prop(as.matrix(net), ind.pos2, tmax = 10, eps = 1e-05, norm = FALSE);
But I got the error
Error in M %*% pold : requires numeric/complex matrix/vector arguments
How can I tag all my nodes by a subset of them using label propagation?
r graphs
asked 1 hour ago
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
1
New contributor
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I want to run the algorithm label propagation (Xiaojin Zhu(2005),Semi-Supervised Learning with Graphs ) on a retweet graph in R. I have found that exist several functions for similar tasks as: label.prop (RANKS library), sslLabelProp (SSL library) and cluster_label_prop (igraph library). However, neither them result useful to me.
cluster_label_prop is for clustering and it's not my goal -I want to assing labels to every node by a subset known labels.
sslLabelProp doesn't recieved a graph as input.
label.prop appears to be the right one but is not clear how to use it and i haven't found a clear example. The code that I have tried is this:
usuarios<-c(0:(length(V(net))-1))
usuarios[0:50] = -1
usuarios[50:(length(V(net))-1)] = 1
ind.pos2 <- which(usuarios==-1);
labeled<-label.prop(as.matrix(net), ind.pos2, tmax = 10, eps = 1e-05, norm = FALSE);
But I got the error
Error in M %*% pold : requires numeric/complex matrix/vector arguments
How can I tag all my nodes by a subset of them using label propagation?
r graphs
r graphs
asked 1 hour ago
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
1
New contributor
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
1
New contributor
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
1
New contributor
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 1 hour ago
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
1
asked 1 hour ago
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
1
1
New contributor
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Juan Manuel Ortiz de Zarate is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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