vachelch / SDML

Special Topics in Machine Learning (NTU 2018 Fall)

SDML

Special Topics in Machine Learning (SDML) at NTU 2018 Fall. This repo includes codes of projects in the SDML course, NTU. Only some of them are shown here:

1. Graph Embedding
2. Recommendation System
3. Controlled Text Generation
4. Clustering (not included in this repo)
5. Real Time Bidding (not included in this repo)

HW1-1

• Task:
  • Link Prediction
• Feature:
  • Graph (node id + edge)
• method:
  • DeepWalk, Node2Vec, Graph Convolutional Networks
  • Cosine Similarity ----> Threshold

HW1-2

• Task:
  • link prediction
• Feature:
  • Graph (node id + edge), Title, Abstract
• method:
  • DeepWalk, Node2Vec, Graph Convolutional Networks
  • Cosine Similarity, Word Embedding, Graph Features (jaccard distacne, degree..) ----> Classifiy

HW1-3

• Task:
  • Link Prediction
• Feature:
  • Graph (node id + edge), Title, Abstract, Time
• method:
  • Nearly the same to HW1-2
  • Auto Feature Generation and Selection

HW2

• Task:
  • Food Recomendation (no repeat)
• Feature:
  • User Rating
• method:
  • WARP loss
  • Cocurrence Matrix ----> DeepFM