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The following code almost takes all of the memory.
node2vec = Node2Vec(G_fb, dimensions=emb_size, walk_length=80, num_walks=10, workers=4)
I have processed only 7 thousand nodes and then got memor…
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我在运行node2vec_randomwalk算法2千万点，10亿边的数据时，由于内存占用较大导致服务器中其他进程OOM了。
查看了plato图算法程序的--help以及mpiexec的使用方法https://wiki.mpich.org/mpich/index.php/Using_the_Hydra_Process_Manager，没有找到控制内存使用大小的参数。
请问plato是否有配置参…
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Hello,
I am Luca, a PhD student from the AnacletoLab (University of Milan). I have started to take a look at the code, and I was beginning from running the present test suite.
However, it fails …
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Hello,
I was trying to base some tests on the `run*` files in the root of the repositories, and in one of them, [`runDiseaseLinkPrediction.py`](https://github.com/TheJacksonLaboratory/N2V/blob/mast…
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the code:
```
graph = nx.from_pandas_edgelist(
answer_info,
"author_id",
"question_id",
"like_nums",
)
node2vec = Node2Vec(graph, dimensions=64, walk_length=30, num_walks=100…
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### Description
In the Cora link prediction demo,`__getitem__` in `node2vec_feature_learning.py` is deprecated. This results in deprecation warnings 5 times in the demo. The demo runs smoothly but …
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There are 75 lines in karate.train. So, I think the total number of edges (using CSFgraph) should be 150. But, it is 148.
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如果支持的话，请问是怎么做的？如何保证弱相关性。特别是异构图的情况下
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### Describe the bug
Between 991db681bd435755 (#1267) and its parent f2a96aab34a21af, there was a significant performance regression in several random walk benchmarks:
- `UniformRandomWalk`
- `…
huonw updated
4 years ago
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Hi,
Just wondering if you had any tips for lowering the memory usage during the app.build step.
I have a fairly large graph: ~52 million edges.
The machine I was using has ~120GB of RAM.
Tha…