Stars
Code for Domain-Oriented Knowledge Transfer for Cross-Domain Recommendation
A complete computer science study plan to become a software engineer.
A Python Library for Uncertain Knowledge Graph Reasoning
[KDD'2023] "AdaGCL: Adaptive Graph Contrastive Learning for Recommendation"
Contrastive Learning for Cold-start Recommendation
lodreclib is a Java library to build recommendation engines which exploit the information encoded in Linked (Open) Data datasets.
Code for paper [Disentangled Contrastive Learning for Cross-Domain Recommendation]
A Comprehensive Survey of Self-Supervised Learning for Recommendation
The code for AAAI2024 paper "Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation"
The PyTorch implementation of LightGCN
KGCN pytorch model implementation
A tensorflow implementation of Knowledge Graph Convolutional Networks
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
[Support 0.49.x]（Reset Cursor AI MachineID & Bypass Higher Token Limit） Cursor Ai ，自动重置机器ID ， 免费升级使用Pro功能: You've reached your trial request limit. / Too many free trial accounts used on this machi…
Codes for WWW2022 accepted paper: SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs
(NeurIPS‘24) LLM4EA: <Entity Alignment with Noisy Annotations from Large Language Models>
"A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning". VLDB Journal, 2022. Code for state-of-the-art algorithms/models.
This is a pytorch implementation of our paper: "Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation"
this repository accompanies the book "Grokking Deep Learning"
[ICDE 2022]Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck