[Day 103] Knowledge Graphs
Hello :) Today is Day 103! A quick summary of today: continued with XCS224W: ML with Graphs and covered 2/3rds of module 5: Knowledge Graphs 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 :)