HARP
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Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
Bumps [scipy](https://github.com/scipy/scipy) from 0.19.1 to 1.10.0. Release notes Sourced from scipy's releases. SciPy 1.10.0 Release Notes SciPy 1.10.0 is the culmination of 6 months of hard work. It contains many...
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F:\Users\Administrator\miniconda3\envs\HARP\python.exe D:/workspace-2022/reappear/HARP/src/harp.py --input D:\workspace-2022\reappear\HARP\example_graphs\citeseer\citeseer.mat --model line --output citeseer.npy --sfdp-path D:\workspace-2022\reappear\HARP\bin\sfdp_windows.exe Number of nodes: 3312 Number of edges: 9072 Underlying network embedding model: line {'window_size': 1, 'sg': 1, 'sfdp_path': 'D:\\workspace-2022\\reappear\\HARP\\bin\\sfdp_windows.exe', 'iter_count':...
The source code uses sfdp library for graph coarsening, but the paper is about the graph coarsening methods proposed by yourself. Is there any corresponding implementation?
The source code uses sfdp library for graph coarsening. But when I tried these three standard datasets, I found that the graph was not coarsened. That is, after the sentence...
I executed harp coding on a windows OS and using sfdp_windows.exe, but it failed. Since subprocess.call function that applies graph_coarsening based on sfdp_windows.exe returns a non-zero value.
Hi, I could run the Harp using LINE as the underlying network embedding model, but it fails when using deepwalk embedding model. I have attached a schema of both runs...
Threshold of coarsened graph is set to 100 in the paper. Coarsening until < 100 vertices. but the function: external_ec_coarsening() will Coarse the graph into very small size
Hi, does multi-threading or --workers option work?
Various `Word2Vec` `model` attributes are moved to the `model.wv` in the latest gensim, which causes the incompatibility.
