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# 개발자를 위한 Graph Neural Network (GNN) (Graph Neural Network (GNN) for Software Developers), Haandol
Graph Neural Network (GNN) for Software Developers
[https://haandol.github.io/2023/12/19/graph-neur…
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In this thread, we post papers about GNN on code
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Investigate using the real dataset as input for GNN. It doesn't need to run with all data, and it doesn't have to use the "real" parameters.
In other words, we can set `max_distance`, `min_neighbours…
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I am working on making GNN.jl Lux compatible and something that could simplify the process is to be able to do data transfer across devices in a framework-agnostic way. So I was wondering if this pack…
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Thank you for an interesting repo.
I went through the code and I noticed that you used two different mol_to_graph_data_obj_simple functions for contrastive pre-training and property prediction fine…
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### 🚀 The feature, motivation and pitch
Recent scientific work [1] leveraging GNNs for routing in computer networks has used a line digraph representation of the computer network topology as input …
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In my attempt to port [ Node Classification with Graph Neural Networks](https://keras.io/examples/graph/gnn_citations/) to keras_core, I hit an issue when trying to pass a list of indices to the `gnn_…
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2023-08-28 14:39:42,737 predict:218 INFO - Generating graph, using 95 processors
/mnt/data/anaconda/envs/deeprank-gnn-esm-gpu/lib/python3.9/site-packages/pdb2sql/interface.py:147: UserWarning: No co…
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When i use the PGExplainer, i discover a problem. i have to use the same feature dimension in the last gnn layer to fit the readout function and run correctly. The example is follows:
class Model(nn.…
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Currently, our code only works with tensorflow < 2.10 and tensorflow_gnn