LARS-research / AutoML-TutorialLinks
Tutorials about AutoML
☆85Updated 3 years ago
Alternatives and similar repositories for AutoML-Tutorial
Users that are interested in AutoML-Tutorial are comparing it to the libraries listed below
Sorting:
- KDD CUP 2020 Automatic Graph Representation Learning: 1st Place Solution☆98Updated 4 years ago
- Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes☆62Updated 8 months ago
- Source codes for our AAAI'20 paper: Adaptive Factorization Network: Learning Adaptive-Order Feature Interactions☆38Updated 4 years ago
- Efficient Neural Interaction Functions Search for Collaborative Filtering☆18Updated 5 years ago
- This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention☆40Updated 5 years ago
- PPRGo model in TensorFlow 1, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆36Updated 3 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆113Updated 3 years ago
- ☆24Updated 4 years ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆56Updated 3 years ago
- [WIP] an implement of PinSage recommender system☆61Updated 5 years ago
- Code for our WWW'2020 paper "Efficient Neural Interaction Function Search for Collaborative Filtering"☆25Updated 5 years ago
- [CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"☆83Updated last year
- Knowledge-enhanced Neighborhood Interaction model for recommendation☆63Updated 5 years ago
- ☆40Updated 4 years ago
- Dynamic Fair Rankings☆87Updated 2 years ago
- Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)☆39Updated 4 years ago
- An Efficient and Unified Benchmark for GNN-based Recommendation.☆79Updated 2 years ago
- Implementation of the SIGIR 2020 paper "Automated Embedding Size Search in Deep Recommender Systems"☆27Updated 4 years ago
- Research works on different versions of IntentGC and several state-of-the-art algorithms on public amazon data☆53Updated 6 years ago
- Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”☆61Updated 4 years ago
- Content-aware Neural Hashing for Cold-start Recommendation. SIGIR 2020☆19Updated 4 years ago
- Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019☆53Updated 4 years ago
- A PyTorch implementation of Ranking Distillation☆90Updated 4 years ago
- ☆31Updated last year
- Pre-training and Transfer learning papers for recommendation☆18Updated last year
- A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"☆97Updated 5 years ago
- ☆8Updated 3 years ago
- Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"☆81Updated 10 months ago
- This is an implementation for our SIGIR 2020 paper: How to Retrain Recommender System? A Sequential Meta-Learning Method.☆46Updated last year
- Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.☆31Updated 4 years ago