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Diffusion Recommender Model
Learning to Double-check Model Prediction from a Causal Perspective
Cooperative Explanations of Graph Neural Networks
Inductive Lottery Ticket Learning for Graph Neural Networks
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
Causal Attention for Interpretable and Generalizable Graph Classification
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
Reinforced Causal Explainer for Graph Neural Networks
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning
Discovering Invariant Rationales for Graph Neural Networks
Causal Representation Learning for Out-of-Distribution Recommendation
Towards Multi-Grained Explainability for Graph Neural Networks
Deconfounded Recommendation for Alleviating Bias Amplification
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method
Denoising Implicit Feedback for Recommendation
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Advances and Challenges in Conversational Recommender Systems: A Survey
Interactive Path Reasoning on Graph for Conversational Recommendation
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems
KGAT: Knowledge Graph Attention Network for Recommendation
Neural Graph Collaborative Filtering
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preference
Explainable Reasoning over Knowledge Graph Paths for Recommendation
Fast Matrix Factorization with Non-Uniform Weights on Missing Data
Knowledge-aware Multimodal Dialog Systems
Attributed Social Network Embedding
NAIS: Neural Attentive Item Similarity Model for Recommendation
Adversarial Personalized Ranking for Recommendation
Learning on Partial-Order Hypergraphs
TEM: Tree-enhanced Embedding Model for Explainable Recommendation
Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-level Attention
Item Silk Road: Recommending Items from Information Domains to Social Users
Neural Factorization Machines for Sparse Predictive Analytics
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Neural Collaborative Filtering
Fast Matrix Factorization for Online Recommendation with Implicit Feedback
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