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### GAT link prediction on unseen nodes
*Hi! I am trying to implement link prediction based on GAT and predict unseen nodes (Inductive learning). While I can successfully run a link prediction usin…
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### Overview
This analysis can later be applied to build a recommendation system in the OpenVirome app and paper for suggesting indirectly related viromes. The embeddings can also be used to create u…
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### Describe the bug
Hi! I'm working with the demo: [Link prediction via inductive node representations with attri2vec](https://stellargraph.readthedocs.io/en/stable/demos/link-prediction/attri2vec…
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# Vision Transformer Adapter for Dense Predictions
Info.
- ICLR 2023 spotlight
- https://github.com/czczup/ViT-Adapter
- https://arxiv.org/abs/2205.08534
### Summary
- plain ViT
- whi…
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Hi, I was reading the paper about the dataset and was looking at the dataset in detail. Unfortunately, there is some uncertainty hindering me to fully understanding this task.
Your inductive LP ta…
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I have a nx graph which is converted to stellar-graph. A GCN model is trained for embedding on this graph. Some new nodes are introduced in original graph. I create a new stellar-graph. Now i want to…
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Pose a question about one of the following articles:
“[DeepWalk: Online Learning of Social Representations](https://dl.acm.org/doi/pdf/10.1145/2623330.2623732)”, 2014. B. Perozzi, R. Al-Rfou, S. S…
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Hi @DanFu09
Hope you're well,
I was reading the source code and the config files, and I realized that `use_positional_encodings` is `True` ([link](https://github.com/HazyResearch/m2/blob/b449ddbd…
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Hey @rusty1s,
Given a dataset with ground truth (graphs with full edge indices) would there need to be any fundamental changes on the architecture to train it supervised? (besides loss function and…
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Post your questions here about: “[Network Learning](https://docs.google.com/document/d/1hjXUvBRS779HDvbYXMKjyVbO3wVg6SaWNtxwof6s6LM/edit?usp=sharing)” & “Knowledge and Table Learning”, Thinking with D…