AI-Friend / Graph-AlgorithmsLinks
图挖掘和图神经网络
☆0Updated 4 years ago
Alternatives and similar repositories for Graph-Algorithms
Users that are interested in Graph-Algorithms are comparing it to the libraries listed below
Sorting:
- RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分☆17Updated 3 years ago
- 电商行业知识图谱:构建电商行业实体关系,应用于商品推荐,商品搭配,问答系统。☆22Updated 5 years ago
- GraphSAGE 的 tensorflow2.0 实现☆15Updated 4 years ago
- 知识图谱相关学习资料☆18Updated 7 years ago
- nlp tasks☆9Updated 2 years ago
- ☆24Updated 2 years ago
- CSDN用户画像技术评测☆27Updated 6 years ago
- DeepWalk, build a graph and to get the nodes' vector☆18Updated 6 years ago
- 矩阵分解(BPRMF) + 知识图谱表示学习(TransR) 构建的推荐系统☆22Updated 6 years ago
- 个性化推荐模型,主要包括als、als_wr、biaslfm、lfm、nmf、svdpp、基于内容、基于内容回归、user-cf、item-cf、slopeone、关联规则以及基于内容和cf的混合等模型。☆32Updated 2 years ago
- 推荐系统读书笔记、思维导图等☆40Updated 2 years ago
- 科大讯飞AI开发者大赛 基于用户画像的商品推荐挑战赛 Baseline☆14Updated 4 years ago
- smp2018用户画像技术评测☆21Updated 7 years ago
- 小白记录学习CTR的历程☆17Updated 5 years ago
- 《统计学习方法》python实现☆10Updated 5 years ago
- Machine Learning and Deep Learning☆21Updated 5 years ago
- Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型☆10Updated 4 years ago
- 一些经典的个性化推荐算法的实现,从理论推导到实战☆68Updated 5 years ago
- rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆45Updated 4 years ago
- 结合开源数据集进行电影推荐。推荐算法有:逻辑回归;UserCF ; ItemCF☆16Updated 4 years ago
- 《推荐系统开发实战》代码及勘误☆60Updated 5 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- 本项目采用Keras和ALBERT实现文本多标签分类任务,其中对ALBERT进行微调。☆12Updated 4 years ago
- 短视频内容理解与推荐竞赛☆84Updated 5 years ago
- 2020腾讯广告算法大赛初赛rank6,复赛rank11队伍(wujie代码)☆12Updated 4 years ago
- GPF(Graph Processing Flow):利用图神经网络 处理问题的一般化流程☆91Updated 6 years ago
- Common Model about DeepCTR(WideDeep,DeepFM, DCN, XdeepFM)☆30Updated 7 months ago
- ☆12Updated 4 years ago
- graph embedding spark implementation, include deepWalk, Node2Vec etc☆25Updated 5 years ago
- 利用kashgari轻松搭建文本分类模型。☆25Updated 5 years ago