WWW2021 | 图推荐系统论文一览
发布于 2021-05-11 17:25 ,所属分类:论文学习资料大全
WWW (这两年改名叫TheWebConf了)会议是由图灵奖得主Tim创办的学术会议,内容涵盖互联网相关的一切主题。中国计算机协会将其认证为CCF-A类顶级会议,难度极大。中一篇吹一年。
图表示学习
推荐系统
知识图谱
冷启动问题
生成对抗网络
对话AI
医疗

图表示学习
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Knowledge Embedding Based Graph Convolutional Network Rumor Detection with Field of Linear and Non-Linear Propagation Multi-level Connection Enhanced Representation Learning for Script Event Prediction
推荐系统
Large-scale Comb-K Recommendation A Recommender System for Crowdsourcing Food Rescue Platforms Future-Aware Diverse Trends Framework for Recommendation Graph Embedding for Recommendation against Attribute Inference Attacks Diversified Recommendation Through Similarity-Guided Graph Neural Networks Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation Reinforcement Recommendation with User \Multi-aspect Preference User-oriented Group Fairness In Recommender Systems Bidirectional Distillation for Top-K Recommender System Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities Debiasing Career Recommendations with Neural Fair Collaborative Filtering Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation Cost-Effective and Interpretable Job Skill Recommendation with Deep Reinforcement Learning Learning Fair Representations for Recommendation: A Graph-based Perspective Where Next? A Dynamic Model of User Preferences Leveraging Review Properties for Effective Recommendation High-dimensional Sparse Embeddings for Collaborative Filtering DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests FINN: Feedback Interactive Neural Network for Intent Recommendation Field-aware Embedding Space Searching in Recommender Systems Learning Intents behind Interactions with Knowledge Graph for Recommendation
知识图谱
Inductive Entity Representations from Text via Link Prediction Boosting the Speed of Entity Alignment 10×: Dual Attention Matching Network with Normalized Hard Sample Mining Mixed-Curvature Multi-relational Graph Neural Network for Knowledge Graph Completion Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs Few-Shot Knowledge Validation using Rules Learning Intents behind Interactions with Knowledge Graph for Recommendation MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths RETA: A Schema-Aware, End-to-End Solution for Instance Completion in Knowledge Graphs
冷启动问题
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start Task-adaptive Neural Process for User Cold-Start Recommendation
生成对抗图
User Simulation via Supervised Generative Adversarial Network TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints OntoZSL: Ontology-enhanced Zero-shot Learning Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple Sources Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations
对话AI
Wiki2Prop: A Multi-Modal Approach for Predicting Wikidata Properties from Wikipedia Compositional Question Answering via Hierarchical Graph Neural Networks Information Extraction From Co-Occurring Similar Entities
医疗
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction Drug Package Recommendation via Interaction-aware Graph Induction Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks Few-Shot Molecular Property Prediction
您的“点赞/在看/分享”是我们坚持的最大动力!
坚持不易,卖萌打滚求鼓励 (ฅ>ω<*ฅ)
相关资源