Alex Loftus
Alex Loftus
in the initial embedding step (ASE on all the graphs separately) prior to concatenation, MASE just does all the embeddings in a for-loop. This can be parallelized pretty easily with...
It's currently taking me ~20 seconds to make an SBM with 1500 nodes with ``` simulations.sbm[500, 500, 500], B, return_labels=True ``` where B is a block probability matrix. This scales...
@jovo wants the default setting in plot.heatmap to explicitly say which side of the heatmap represents source nodes and which side represents target nodes in directed graphs.
Right now, when we use `heatmap` in the unweighted case, the legend shows up as a gradient. It would be better if it showed up as two distinct colors, since...
Setup: `pip install deepbrain` `from deepbrain import Extractor` Error: ``` ImportError Traceback (most recent call last) in 5 6 import nibabel as nib ----> 7 from deepbrain import Extractor /usr/local/Caskroom/miniconda/base/envs/ndmg/lib/python3.6/site-packages/deepbrain/__init__.py...
I just realized this doesn't have a subsection anywhere, unless I'm missing something?
specifically the part where we talk about network statistics. I think those figures are really good for explaining why network statistics can be bad.
ch5: it's not really what the chapter's about I'd call it "Types of Statistical Models", or "Statistical Models for Representation"
currently I don't have numbers showing value in the latent position pairplot thingy in `grpahbook_code`
for if we want to use real data. I'll edit this periodically. Enron graph, C.elegans graphs, Blog network graphs: http://www.cis.jhu.edu/~parky/vn/ Karate club, les mis, word adjacencies, football, dolphin social network,...