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node2vec implementation in C++

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Thanks for the excellent code. and I met one question, my data set is too big (which can not be held in one machine's mem), and I should break it...

I was wondering if there is (algorithmically) any difference between your C++ implementation of Node2Vec and the original reference implementation from Stanford. For instance, I saw something about subsampling frequent...

./node2vec -input /data/ECommAI/round1_b/user_item.bcsr -output embedding.bin -dim 64 I use this command, but the following error occurs: ``` nv: 985597, ne: 69327988 Segmentation fault (core dumped) ``` 32GB memory

nv: 1032440, ne: 987454 Need 0.257797 Mb for storing second-order degrees Generating a corpus for negative samples.. Using vectorized operations lr 0.020144, Progress 19.42% Calculations took 12.13 s to run