A Survey of Graph Neural Networks for Social Recommender Systems.pdf
ATBRG - Adaptive Target-Behavior Relational Graph Network for Effective Recommendation.pdf
Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.pdf
Compressed Interaction Graph based Framework for Multi-behavior Recommendation.pdf
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.pdf
DC-GNN - Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval.pdf
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems.pdf
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items.pdf
Disentangled Graph Collaborative Filtering.pdf
E-commerce Search via Content Collaborative Graph Neural Network.pdf
Embedding-based News Recommendationfor Millions of Users.pdf
Enhancing Catalog Relationship Problems with Heterogeneous Graphs and Graph Neural Networks Distillation.pdf
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction.pdf
FASTGCN - FAST LEARNING WITH GRAPH CONVOLUTIONAL NETWORKS VIA IMPORTANCE SAMPLING.pdf
Friend Recommendations with Self-Rescaling Graph Neural Networks.pdf
Graph Convolutional Matrix Completion.pdf
Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation.pdf
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms.pdf
Graph Neural Networks for Social Recommendation.pdf
GraphSAIL - Graph Structure Aware Incremental Learning for Recommender Systems.pdf
Hessian-aware Quantized Node Embeddings for Recommendation.pdf
Improving Accuracy and Diversity in Matching of Recommendation with Diversified Preference Network.pdf
IntentGC - a Scalable Graph Convolution Framework Fusing Heterogeneous Information for Recommendation.pdf
LightSAGE - Graph Neural Networks for Large Scale Item Retrieval in Shopee’s Advertisement Recommendation.pdf
M2GRL - A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems.pdf
MMGCN - Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video.pdf
Modeling Dual Period-Varying Preferences for Takeaway Recommendation.pdf
MultiBiSage - A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest.pdf
MultiSage - Empowering GCN with Contextualized Multi-Embeddings on Web-Scale Multipartite Networks.pdf
Neighbor Interaction Aware Graph Convolution Networks for Recommendation.pdf
Network Embedding as Matrix Factorization - Unifying DeepWalk, LINE, PTE, and node2vec.pdf
Package Recommendation with Intra- and Inter-Package Attention Networks.pdf
ProNE - Fast and Scalable Network Representation Learning.pdf
Representation Learning for Attributed Multiplex Heterogeneous Network.pdf
Revisiting Item Promotion in GNN-based Collaborative Filtering - A Masked Targeted Topological Attack Perspective.pdf
SVD-GCN - A Simplified Graph Convolution Paradigm for Recommendation.pdf
Self-Supervised Hypergraph Transformer for Recommender Systems.pdf
Self-supervised Graph Learning for Recommendation.pdf
Spherical Graph Embedding for Item Retrieval in Recommendation System.pdf
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.pdf
[2014][DeepWalk] DeepWalk - Online Learning of Social Representations.pdf
[2014][word2vec] Negative-Sampling Word-Embedding Method.pdf
[2015][Microsoft][LINE] LINE - Large-scale Information Network Embedding.pdf
[2016][SDNE] Structural Deep Network Embedding.pdf
[2016][Stanford][node2vec] node2vec - Scalable Feature Learning for Networks.pdf
[2016][item2vec] ITEM2VEC - NEURAL ITEM EMBEDDING FOR COLLABORATIVE FILTERING.pdf
[2016][word2vec] word2vec Parameter Learning Explained.pdf
[2017][GCN] SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS.pdf
[2017][Stanford][GraphSage] Inductive Representation Learning on Large Graphs.pdf
[2018][Alibaba] Learning and Transferring IDs Representation in E-commerce.pdf
[2018][Alibaba][EGES] Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba.pdf
[2018][Etsy] Learning Item-Interaction Embeddings for User Recommendations.pdf
[2018][GAT] GRAPH ATTENTION NETWORKS.pdf
[2018][Pinterest][PinSage] Graph Convolutional Neural Networks for Web-Scale Recommender Systems.pdf
[2019][NGCF] Neural Graph Collaborative Filtering.pdf
[2019][SR-GNN] Session-based Recommendation with Graph Neural Networks.pdf
[2020][LightGCN] LightGCN - Simplifying and Powering Graph Convolution Network for Recommendation.pdf
metapath2vec - Scalable Representation Learning for Heterogeneous Networks.pdf
struc2vec - Learning Node Representations from Structural Identity.pdf
A Dual Augmented Two-tower Model for Online Large-scale Recommendation.pdf
A Simple Convolutional Generative Network for Next Item Recommendation.pdf
A User-Centered Concept Mining System for Query and Document Understanding at Tencent.pdf
An Empirical Study of Selection Bias in Pinterest Ads Retrieval.pdf
Attentive Collaborative Filtering - Multimedia Recommendation with Item- and Component-Level Aention.pdf
Attentive Sequential Models of Latent Intent for Next Item Recommendation.pdf
AutoRec - Autoencoders Meet Collaborative Filtering.pdf
Beyond Semantics - Learning a Behavior Augmented Relevance Model with Self-supervised Learning.pdf
Beyond Two-Tower Matching - Learning Sparse Retrievable Cross-Interactions for Recommendation.pdf
Binary Embedding-based Retrieval at Tencent.pdf
Build Faster with Less - A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search.pdf
CRM - Retrieval Model with Controllable Condition.pdf
CROLoss - Towards a Customizable Loss for Retrieval Models in Recommender Systems.pdf
Coarse-to-Fine Sparse Sequential Recommendation.pdf
Collaborative Deep Learning for Recommender Systems.pdf
Collaborative Denoising Auto-Encoders for Top-N Recommender Systems.pdf
Cross-Batch Negative Sampling for Training Two-Tower Recommenders.pdf
Deep Collaborative Filtering via Marginalized Denoising Auto-encoder.pdf
Deep Matrix Factorization Models for Recommender Systems.pdf
Disentangled Self-Supervision in Sequential Recommenders.pdf
Divide and Conquer - Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.pdf
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation.pdf
Efficient Training on Very Large Corpora via Gramian Estimation.pdf
Extreme Multi-label Learning for Semantic Matching in Product Search.pdf
Factorization Meets the Neighborhood - a Multifaceted Collaborative Filtering Model.pdf
Fast Matrix Factorization for Online Recommendation with Implicit Feedback.pdf
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching.pdf
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems.pdf
I^3 Retriever- Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.pdf
Improving Recommendation Accuracy using Networks of Substitutable and Complementary Products.pdf
ItemSage - Learning Product Embeddings for Shopping Recommendations at Pinterest.pdf
Itinerary-aware Personalized Deep Matching at Fliggy.pdf
KuaiFormer - Transformer-Based Retrieval at Kuaishou.pdf
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking.pdf
Learning Deep Structured Semantic Models for Web Search using Clickthrough Data.pdf
Learning from History and Present - Next-item Recommendation via Discriminatively Exploiting User Behaviors.pdf
Locker - Locally Constrained Self-Attentive Sequential Recommendation.pdf
M5 - Multi-Modal Multi-Interest Multi-Scenario Matching for Over-the-Top Recommendation.pdf
MV-HAN - A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation.pdf
Modeling Dynamic Missingness of Implicit Feedback for Recommendation.pdf
Multi-Objective Personalized Product Retrieval in Taobao Search.pdf
NAIS - Neural Attentive Item Similarity Model for Recommendation.pdf
Neighborhood-based Hard Negative Mining for Sequential Recommendation.pdf
Neural Attentive Session-based Recommendation.pdf
Octopus - Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.pdf
On Sampling Strategies for Neural Network-based Collaborative Filtering.pdf
On the Theories Behind Hard Negative Sampling for Recommendation.pdf
Outer Product-based Neural Collaborative Filtering.pdf
Path-based Deep Network for Candidate Item Matching in Recommenders.pdf
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding.pdf
PinnerSage - Multi-Modal User Embedding Framework for Recommendations at Pinterest.pdf
Pre-training Tasks for User Intent Detection and Embedding Retrieval in E-commerce Search.pdf
Que2Engage - Embedding-based Retrieval for Relevant and Engaging Products at Facebook Marketplace.pdf
Que2Search - Fast and Accurate Query and Document Understanding for Search at Facebook.pdf
Recommendation on Live - Streaming Platforms- Dynamic Availability and Repeat Consumption.pdf
Recommender Systems with Generative Retrieval.pdf
Representing and Recommending Shopping Baskets with Complementarity, Compatibility, and Loyalty.pdf
Revisiting Neural Retrieval on Accelerators.pdf
Robust Representation Learning for Unified Online Top-K Recommendation.pdf
SPM - Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search.pdf
Self-Attentive Sequential Recommendation.pdf
Semi-supervised Adversarial Learning for Complementary Item Recommendation.pdf
Sequential Recommendation via Stochastic Self-Attention.pdf
Sequential Recommender System based on Hierarchical Attention Network.pdf
SimpleX - A Simple and Strong Baseline for Collaborative Filtering.pdf
Sparse-Interest Network for Sequential Recommendation.pdf
StarSpace - Embed All The Things!.pdf
Towards Automated Negative Sampling in Implicit Recommendation.pdf
Towards Personalized and Semantic Retrieval - An End-to-End Solution for E-commerce Search via Embedding Learning.pdf
Unifying Generative and Dense Retrieval for Sequential Recommendation.pdf
Variational Autoencoders for Collaborative Filtering.pdf
[2015][Microsoft][DSSM in Recsys] A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems.pdf
[2015][Sceptre] Inferring Networks of Substitutable and Complementary Products.pdf
[2016][Yahoo][App2Vec] App2Vec - Vector Modeling of Mobile Apps and Applications.pdf
[2018][TC-CML] Loss Aversion in Recommender Systems - Utilizing Negative User Preference to Improve Recommendation Quality.pdf
[2019][Alibaba][SDM] SDM - Sequential Deep Matching Model for Online Large-scale Recommender System.pdf
[2019][Google] Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations.pdf
[2020][Alibaba][Swing&Surprise] Large Scale Product Graph Construction for Recommendation in E-commerce.pdf
[2020][Baidu] Sample Optimization For Display Advertising.pdf
[2020][Facebook][EBR] Embedding-based Retrieval in Facebook Search.pdf
[2020][Google][MNS] Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations.pdf
[2020][Weixin][UTPM] Learning to Build User-tag Profile in Recommendation System.pdf
[2021][Alibaba][MGDSPR] Embedding-based Product Retrieval in Taobao Search.pdf
[2021][Alibaba][XDM] XDM - Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System.pdf
[2021][Google] Self-supervised Learning for Large-scale Item Recommendations.pdf
[2023] Adap-tau - Adaptively Modulating Embedding Magnitude for Recommendation.pdf
[2023][JD][MMSE] Learning Multi-Stage Multi-Grained Semantic Embeddings for E-Commerce Search.pdf
gSASRec - Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling.pdf
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