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# Interesting papers
- [Davison 2018 - FutureMapping: The Computational Structure of Spatial AI Systems](https://arxiv.org/abs/1803.11288)
- Imperial College London의 Dyson Robotics Lab 교수님이신 A…
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### 🚀 The feature, motivation and pitch
DHYPR is a new model developed by @hongluzhou, and myself focused on **directed** graph representation learning and can be used for several tasks such as link …
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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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Motif search for heterogeneous networks - especially temporal heterogeneous networks - has fundamental scalability challenges. [Neural Subgraph Matching](https://arxiv.org/abs/2007.03092) proposes a t…
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Hi,
I found the list missed some recent papers:
>[Multimodal Integration] [2022 Nature Biotechnology] Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
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## 🚀 Feature
Request to add two graph self-supervised methods to Pytorch Geometric:
(1) heuristic designed graph self-supervised tasks (ICML'20): https://arxiv.org/abs/2006.09136;
code: https:/…
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Forgive my lack of knowledge, but I have a simple question regarding the provided demo for node representation learning with GraphSAGE and the use of an unsupervised sampler:
> Given a large set of…
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### @sichu91
- Graph sampling
- Train / test split
- Applying simple models
- ALS, association rules, ...
- More complex models(graph)
- transE, ...
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Hi @muhanzhang,
I am a master student at NCCU. I saw your SEAL method on OGB link property prediction task, and I am interested in this method. But I have a trivial question, hope you can solve my …