Xinzhou Jin
GNN & RecSys & LLM
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About
Xinzhou Jin works in ML & data science and AI engineering, based in Guangzhou, China (Sun Yat-sen University). GNN & RecSys & LLM. Public projects on GitHub include NSE ([ICDM 2023] Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding), Graph Papers (Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading…) and Graph (pytorch implementation of graph models, including gcn, gat, graphsage etc), mostly written in Python and Shell.
Projects 6
- github.com
NSE
[ICDM 2023] Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding
- github.com
Graph Papers
Graph Neural Network, Self-Supervised Learning, Contrastive Learning, RecSys, Transformer Papers Reading Notes.
- github.com
Graph
pytorch implementation of graph models, including gcn, gat, graphsage etc.
- github.com
Recsys
pytorch implementation of ctr models, including fm, deepfm, etc.
- github.com
DeepRec
RecSys Codes based on PyTorch
- github.com
Nlp Seq2Seq
some nlp sequence to sequence models implementated in pytorch and torchtext.