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**Spektral** certainly seems promising and easy to get started. Also, it has some good examples for predictive tasks. However, **Spektral** lacks examples of generative models.
_That said, other l…
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I have read your paper “HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition”, what an excellent and interesting paper.
According to my understan…
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### Description
**StellarGraph** is interesting and easy to get started. Also, it has some good examples for predictive tasks. However, **StellarGraph** lacks examples of generative models.
I a…
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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…
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I am wondering whether dhg supports hypergraph datasets with heterogeneous graphs, which means that for each hyperedge, there are several types of entities.
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## 🚀 Feature
1. Classify examples by different tasks, e.g., Link Perdiction, Node classification, Graph regression. Some examples do have the tag "Link Prediction", but actually, the code does not ha…
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Research on how to generate the heterogeneous graph and use it to generate graph embeddings and use them as the encoding part and decoding part.
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1996 fantasies: [The World-Wide Web as a Super-Brain: from metaphor to model](https://web.archive.org/web/20160304113729/http://pespmc1.vub.ac.be/papers/WWW-Super-Brain.pdf) in: Cybernetics and System…
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Thanks for the great work.
Sorry for disturbing. I have several question about the moe model at ./examples/cpp/mixture-of-expert
**1. How current version of flexflow get the running time of ope…
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KPRN is also your paper and, based on my intuition, KPRN will perform better than KGAT.