lnodin / mining-massive-datasets
[Homeworks] CS246: Mining Massive Data Sets, Stanford / Spring 2021
☆11Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for mining-massive-datasets
- tensorflow2---CV、GNN论文复现☆10Updated 3 years ago
- repo for CMU course - Machine Learning in Practice☆12Updated 6 months ago
- ☆12Updated 2 years ago
- This repository contains the code for building a recommendation system using Graph Neural Networks(GNNs).☆26Updated 2 years ago
- Get started with Recommendation Systems☆45Updated 2 years ago
- NUS CS5284 Graph Machine Learning course, Xavier Bresson, 2024☆59Updated this week
- Listing the research works related to risk control based on GNN and its interpretability. 1. we can learn the application of GNN in risk …☆10Updated 3 years ago
- My research paper notes, focusing on data mining/recommender/reinforcement learning. 我的论文笔记，主要聚焦于数据挖掘、推荐系统、强化学习☆19Updated 2 years ago
- Multi-task Learning Model for Recommender Systems☆12Updated 3 years ago
- pinsage for wine recommendation☆55Updated last year
- Source code of NeurIPS 2021 paper “Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media”☆11Updated 2 years ago
- The code for the paper "RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction" (WWW 24 short paper)☆28Updated 8 months ago
- ☆13Updated 7 months ago
- Adaptive neighbor sampling for temporal GNN☆10Updated 8 months ago
- CS224W-Chinese-Notes CS224W中文笔记☆64Updated 2 years ago
- Papers related to the Recommender System from SIGIR 2021 (including the links for Paper PDF, Github Code and Dataset)☆24Updated 3 years ago
- Course Material for the iSchool at UMD's INST414, Data Science Techniques☆12Updated 7 months ago
- A curated list of awesome human-centered AI resources.☆44Updated 2 years ago
- Spark projects. Learning book "Machine Learning with Spark"☆10Updated 7 years ago
- A simple package about multi-task recommendation☆17Updated 3 years ago
- Experiments codes for WSDM '24 paper "MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems"☆9Updated 5 months ago
- ☆14Updated last year
- Data Structures UIUC SP 2016☆8Updated 7 years ago
- The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper☆13Updated 2 years ago
- A paper collection about automated graph learning☆95Updated 5 months ago
- Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.☆36Updated 2 years ago
- 推荐算法专题总结相关代码！☆17Updated 2 years ago
- [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems☆21Updated last year
- Official code of "Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering" (2022 NeurIPS)☆22Updated last year
- ☆57Updated 2 years ago