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

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

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

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

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

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

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