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label propagation on R graph
2019 Community Moderator ElectionLibraries for (label propagation algorithms/frequent subgraph mining) for graphs in RHow to use “sann” function in R to solve graph problems?How i can generate the probabilistic graph for my dataset?Partitioning Weighted Undirected GraphCanonical VS Graph IsomorphismHow to create full graph from vertex data frame with igraph?What are graph embedding?Pretrained graph embeddingsHow to use Scikit-Learn Label Propagation on graph structured data?Algorithm or JS graph drawing library that can generate a graph of 100,000+ nodes and edges while minimizing edge crossings
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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
New contributor
$endgroup$
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
New contributor
$endgroup$
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
New contributor
$endgroup$
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
New contributor
New contributor
New contributor
asked Mar 22 at 20:10
Juan Manuel Ortiz de ZarateJuan Manuel Ortiz de Zarate
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