AM-GCN: Adaptive Multi-channel Graph Convolutional Networks 文中提出在復(fù)雜網(wǎng)絡(luò)中，現(xiàn)有的GCN方法融合節(jié)點(diǎn)屬性信息...
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論文筆記之AM-GCN: Adaptive Multi-channel Graph Convolutional Networks -
論文筆記之Deep Anomaly Detection on Attributed Networks
Deep Anomaly Detection on Attributed Networks 提出了DOMINANT(Deep Anomaly Detection on Att...
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論文筆記之Time Series Shapelets: A New Primitive for Data MiningTime Series Shapelets: A New Primitive for Data Mining 對(duì)于時(shí)序數(shù)據(jù)，提出了一種新的特征，名為shapelet。shap...
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論文筆記之Dynamic Heterogeneous Graph Neural Network for Real-time Event PredictionDynamic Heterogeneous Graph Neural Network for Real-time Event Prediction 本文是滴滴發(fā)在KDD202...
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論文筆記之GPT-GNN: Generative Pre-Training of Graph Neural NetworksGPT-GNN: Generative Pre-Training of Graph Neural Networks 文中指出訓(xùn)練GNN需要大量和任務(wù)對(duì)應(yīng)的標(biāo)注數(shù)據(jù)，這在很多時(shí)...
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論文筆記之Deep Neural Networks for YouTube RecommendationsDeep Neural Networks for YouTube Recommendations 文中把整個(gè)推薦過(guò)程分成兩個(gè)步驟：?deep candidate genera...
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論文筆記之xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender SystemsxDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems 目...
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論文筆記之Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction
Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction 目標(biāo)...
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論文筆記之A Convolutional Click Prediction ModelA Convolutional Click Prediction Model 目標(biāo)：CTR預(yù)估 Convolution Layer 對(duì)于有n個(gè)元素的輸入，先做embeddin...
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論文筆記之Deep Interest Evolution Network for Click-Through Rate PredictionDeep Interest Evolution Network for Click-Through Rate Prediction 目標(biāo)：CTR預(yù)估文中指出以前的模型忽略了用...
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論文筆記之Deep Interest Network for Click-Through Rate PredictionDeep Interest Network for Click-Through Rate Prediction 本文指出，在基于embedding和MLP的模型中，用戶的各種...
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論文筆記之Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attentio...Attentional Factorization Machines: Learning the Weight of Feature Interactions via Att...
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論文筆記之Neural Factorization Machines for Sparse Predictive AnalyticsNeural Factorization Machines for Sparse Predictive Analytics 文中提到了對(duì)于稀疏特征交互的處理。FM以線性的方式...
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論文筆記之DeepFM: A Factorization-Machine based Neural Network for CTR PredictionDeepFM: A Factorization-Machine based Neural Network for CTR Prediction 目標(biāo)：CTR預(yù)估文中指出以前的...
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論文筆記之Deep Learning over Multi-field Categorical Data – A Case Study on UserDeep Learning over Multi-field Categorical Data – A Case Study on User 目標(biāo)：CTR預(yù)估。本文提出了FN...
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論文筆記之Deep & Cross Network for Ad Click PredictionsDeep & Cross Network for Ad Click Predictions 目標(biāo)：CTR預(yù)估。本文提出了Deep & Cross Network(DCN)能夠...
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論文筆記之Wide & Deep Learning for Recommender SystemsWide & Deep Learning for Recommender Systems 文中指出推薦系統(tǒng)的一個(gè)挑戰(zhàn)是同時(shí)實(shí)現(xiàn)memorization和generalizat...
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論文筆記之Product-based Neural Networks for User Response PredictionProduct-based Neural Networks for User Response Prediction 目標(biāo)：CTR預(yù)估。文中指出LR，GBDT，F(xiàn)M雖然在工業(yè)...
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論文筆記之Neural Collaborative FilteringNeural Collaborative Filtering 文中指出雖然之前有一些工作使用deep learning來(lái)解決推薦問(wèn)題，但這些工作基本上使用deep learn...
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論文筆記之Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial FeaturesDeep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features 文中開篇講...