(Day 102) Label propagation in ML with Graphs
April 12, 2024
Hello :) Today is Day 102!
A quick summary of today:
- continued with XCS224W: ML with Graphs and covered the next part - Label propagation
(Day 101) Doing the Google Cloud Digital Leader Learning Path
April 11, 2024
(Day 100) Embeddings in practice + reading a couple of research papers + trying to deploy an LLM in production
April 10, 2024
Hello :) Today is Day 100!
A quick summary of today:
- finished Vicki Boykis’ ‘What are embeddings?’
- read 2 papers:
- Graph Convolutional Neural Networks for Web-Scale Recommender Systems (Ying et al., 2018)
- TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation (El-Kishky et al., 2022)
- tried to deploy a PDF chat app using streamlit (spoiler: failed)
(Day 99) XCS224W - ML with Graphs - Theory of GNNs
April 9, 2024
Hello :) Today is Day 99!
A quick summary of today:
- covered the next part of XCS224W: ML with Graphs
(Day 98) Finishing XCS224W - ML with Graphs' 2nd homework on GNNs Using PyTorch Geometric
April 8, 2024
Hello :) Today is Day 98!
A quick summary of today:
- completed the whole 2nd homework of XCS224W: ML with Graphs
- started reading Vicki Boykis’ ‘What are embeddings?’ book
(Day 97) Review of the GNN structure and training (last 2 days) + starting Colab 2 of XCS224W - ML with Graphs
April 7, 2024
Hello :) Today is Day 97!
A quick summary of today:
- read through and reviewed my notes on intro to GNNs (Day 94)
- read through and reviewed my notes on Designing a GNN layer (Day 95)
- read through and reviewed my notes on GNN training (Day 96)
- started 2nd homework of the course covering the above two