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This is meant to gather any ideas for potential baselines or enhanced approaches to tackle the shared task.
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dgl.nn
- [x] Simplify RelGraphConv
- [x] NN module: HGTConv
- [x] LabelPropagation #4017
- [ ] GraphSizeNorm
- [x] SIGNDiffusion transform #3982
- [ ] TopKPooling
- [ ] GENConv
- [x] GINEConv…
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Currently, the `GCNConv` implementation computes in each forward a dense Laplacian matrix for the graph.
This doesn't scale well for large graphs.
The layer should implement neighborhood aggregati…
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I think [pyAgrum](https://pyagrum.readthedocs.io/en/latest/) would be a great addition to the list of [algorithms](https://benchpressdocs.readthedocs.io/en/latest/available_structure_learning_algorith…
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As a game developer for thirty years, I have been learning a wide range of game related technologies. In lack of a proper system for organizing such knowledge, I just try to recall related thoughts o…
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Thank you very much for your work, it was very interesting! But I'm curious about how prototypes learn.
The article says that prototypes can be learned, represented as a linear layer in the code. Ho…
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We have two desiderata:
1. We want to be able to learn a network which regresses to measurements given a structure as input.
2. We may want to pretrain parts of that network (i.e. the molecular re…
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### Problem
Hi, we started recording chemical compositons to food and colour additive lists used in food in our open source chemical knowledge graph.
We recorded chemical lists of a Mango:
htt…
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https://102.alibaba.com/fund/proposalTopicDetail.htm?id=1121
Alibaba Fund 主题
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Infrastructure Managers typically split their big networks in pieces. In CCS/TMS the concept Area was introduced as a container of railway infrastructure on some part of the network.
Having different…