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User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI
OpenAGI: When LLM Meets Domain Experts
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
Dynamic Causal Collaborative Filtering
Explainable Fairness in Recommendation
Causal factorization machine for robust recommendation
Counterfactual Collaborative Reasoning
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
Path Language Modeling over Knowledge Graphsfor Explainable Recommendation
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