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via @iorga:
How can we visualize the network encoded by the file **hopgraph.xgmml** ? I tried with Cytoscape, it recognizes the columns etc, but the drawing shows only one big rectangle.
I also inst…
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## 🚀 Description
Pipeline parallelism is a technique used in deep learning model training to improve efficiency and reduce the training time of large neural networks. Here we propose a pipeline paral…
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Add support for *knowledge graph embedding* (KGE), to build on the `UMAP` example, based on `DeepWalk`, `node2vec`, etc., used to handle the semantic tagging of the full recipe dataset.
Depends on…
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**Authors:** Hussein A. Hejase, Natalie VandePol, Gregory A. Bonito, Kevin J. Liu
**Abstract:**
Advances in next-generation sequencing technologies and phylogenomics have reshaped our understanding…
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Hello, I read your paper that you use PDE to implement graph-diffusion, but I did not find the PDE part in your code, is it not uploaded yet?
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Hello,
While experimenting with differently sized graphs I observed that when threadpool is used it only works for graphs of the same size. If it is documented somewhere its fine, although ThreadPo…
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So what exactly is graph matching useful for in the real world?
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Boris, those graphs you have achieved on Phils network look great, cheered me up no end this morning! They look really good. If I could be as bold as to offer some advice and ask some questioons....…
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`textacy` currently has two visualizations: `draw_semantic_network()` for visualizing documents as networks of terms with edges given by, say, term co-occurrence; and `draw_termite_plot()` for visuali…