CRIPAC-DIG / A-PGNNLinks
[TKDE 2021] Source code and datasets for the paper "Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation"
☆83Updated last year
Alternatives and similar repositories for A-PGNN
Users that are interested in A-PGNN are comparing it to the libraries listed below
Sorting:
- [SIGIR 2020] Python implementation for "TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation"☆54Updated last year
- Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"☆126Updated 2 years ago
- This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)☆107Updated 5 years ago
- ☆83Updated 6 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- A toy implementation of Neural Graph Collaborative filtering☆87Updated 5 years ago
- Code for Next-item Recommendation with Sequential Hypergraph (SIGIR2020)☆59Updated 4 years ago
- Source code for AAAI 2020 paper "Multi-Component Graph Convolutional Collaborative Filtering"☆61Updated 4 years ago
- Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Explorin…☆78Updated 2 years ago
- Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)☆49Updated 2 years ago
- Code for Paper: CFKG: Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation (KBE4ER)☆53Updated 4 years ago
- Incorporating User Micro-behaviors and Item Knowledge 59 60 3 into Multi-task Learning for Session-based Recommendation☆45Updated 5 years ago
- Disentagnled Graph Collaborative Filtering, SIGIR2020☆141Updated 5 years ago
- ☆34Updated 4 years ago
- This is our implementation of SAMN: Social Attentional Memory Network☆46Updated 6 years ago
- The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation☆53Updated 5 years ago
- Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation☆44Updated 5 years ago
- cross-domain recommendation，transfer learning，pre-training，self-supervise learning papers and datasets☆44Updated last year
- Handling Information Loss of Graph Neural Networks for Session-based Recommendation☆67Updated 3 years ago
- Detecting Beneficial Feature Interactions for Recommender Systems, AAAI 2021☆33Updated 4 years ago
- This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of exist…☆153Updated 4 years ago
- Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020☆137Updated 2 years ago
- Released code of SIGIR2021 Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.☆51Updated 3 years ago
- An implementation FGNN.☆50Updated 5 years ago
- The implementation of SIGIR 2020 paper "CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network“, Cheng Zhao,…☆48Updated 4 years ago
- GMCF: Neural Graph Matching based Collaborative Filtering, SIGIR 2021☆53Updated 3 years ago
- This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)☆31Updated 5 years ago
- This is a pytorch (>=1.3.0) implementation of RepeatNet☆36Updated 5 years ago
- ☆31Updated 5 years ago
- TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)☆43Updated last year