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Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.

, , , , , , and . WWW, page 1018-1027. ACM, (2022)

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Path Language Modeling over Knowledge Graphsfor Explainable Recommendation., , , , , and . WWW, page 946-955. ACM, (2022)GenRec: Large Language Model for Generative Recommendation., , , , , , and . ECIR (3), volume 14610 of Lecture Notes in Computer Science, page 494-502. Springer, (2024)Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training., , , , , and . SDM, page 743-751. SIAM, (2024)IDGenRec: LLM-RecSys Alignment with Textual ID Learning., , , , , and . SIGIR, page 355-364. ACM, (2024)Efficient Non-Sampling Graph Neural Networks., , , , , and . Inf., 14 (8): 424 (2023)Counterfactual Evaluation for Explainable AI., , , , , , , , and . CoRR, (2021)A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs., , and . ICRA, page 14061-14068. IEEE, (2021)ExplainableFold: Understanding AlphaFold Prediction with Explainable AI., and . KDD, page 2166-2176. ACM, (2023)Sample-level Data Selection for Federated Learning., , , , , and . INFOCOM, page 1-10. IEEE, (2021)Counterfactual Collaborative Reasoning., , , , , , , and . WSDM, page 249-257. ACM, (2023)