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Hello, this project is really cool!
I am trying to reproduce your results, but I am having some problems understanding the joint axis prediction section through the paper and the code, and would appr…
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https://arxiv.org/pdf/1905.07129.pdf
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Stefano Bosisio. [Graph Neural Networks: A learning journey since 2008 — Graph Attention Networks](https://medium.com/towards-data-science/graph-neural-networks-a-learning-journey-since-2008-graph-att…
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Hello,
my goal is to produce Knowledge Graph embeddings to use later on in some downstream tasks.
So my idea was to use the kbc package for my datasets. The resulting graphs would be small, hence …
ksbsk updated
2 years ago
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[Graph Convolutional Networks](http://tkipf.github.io/graph-convolutional-networks/).
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I would like to ask these files consist of general DBpedia classes (Ontology) that can be used for any dataset or Are they related to your specific dataset?
Thanks!
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Thank you for the library. My usecase is to embed relations/entities in [ConceptNet](https://github.com/commonsense/conceptnet5). The Conceptnet is not in RDF form, instead it is a csv file. So I need…
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Dear authors,
Sorry to bother you. This is a wonderful work and it gives me much inspiration!
Recently, I have a question about the details of the paper. I notice a statement in Section 4.4 of your…
nxznm updated
2 years ago
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**Title**: [Learning Dynamic Embeddings for Temporal Knowledge Graphs](https://dl.acm.org/doi/abs/10.1145/3437963.3441741)
**Year**: 2021
**Venue**: ACM
**Introduction**:
A Knowledge Graph (KG) …
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## ❓ Questions & Help
Hi I am using enzymes_topk_pool(ETP) algorithm for Medical Image classification. I have created features out of Images and converted them into data format accepted by pytorchg d…