All Questions
Tagged with machine-learning graph-theory
6
questions
1
vote
0
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161
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Locally "unshortable" paths in graphs
Setup: Consider a connected graph G, with diameter "d".
Informally: Trivially (by definition of diameter), taking any path $P$ any nodes $P(i) , P(i+k)$ for $k>d$ can be connected by a ...
1
vote
1
answer
1k
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References for "second order" random walk on graphs (used in "node2vec" paper)?
The "word2vec" family of methods provided a great breakthrough in natural language processing.
The methods assign to each word a vector in $R^{n}$, such that the "similar" words ...
1
vote
0
answers
45
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What is the number of iterations needed for the message passing algorithm to converge when applied to an acyclic factor graph?
I understand that the message passing algorithm (Belief Propagation algorithm), when applied to a factor graph consists in an exchange in messages between the factor nodes and the variable nodes, ...
10
votes
1
answer
413
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How sensitive are Neural Networks to weight change?
Let's consider the space of feedforward neural networks with a given structure: $L$ layers, $m$ neurons per layer, ReLu activation, input dimension $d$, output dimension $k$.
Which means I'm ...
1
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0
answers
151
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Hypergraph partitioning and bipartite graph partitioning
Are hypergraph partitioning, and bipartite graph partitioning related, or equivalent, given that hypergraphs can be represented as bipartite graphs?
In the first case, we want to partition the set of ...
0
votes
3
answers
255
views
Clustering on tree
I am looking for a method that would identify clusters in a tree-like structure. In the figure below you can see a very simple example where one can visually identify distinct branches with a lot of ...