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 :)