[Day 103] Knowledge Graphs

 Hello :)
Today is Day 103!


A quick summary of today:


1st part is about ML with Heterogeneous graphs, and 2nd part is about Knowledge Graph embeddings.

ML with Heterogeneous graphs

Covered topics: heterogeneous graph,s Relational GCNs, benchmarks for heterogeneous graphs, Heterogeneous Graph Transformers, designing, heterogeneous GNNs


Knowledge Graph embeddings

Covered topics: why do we need KGs, KG completion task, connectivity patterns in KGs, TransE, TransR, DistMult, ComplEx, KG embeddings in practice



That is all for today!

See you tomorrow :)

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