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Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization.

, , , , , , and . ICLR, OpenReview.net, (2023)

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Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions., , , , and . CoRR, (2023)Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning., , , and . CoRR, (2022)Heterogeneous Temporal Graph Neural Network., , , , and . CoRR, (2021)Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering., , , , and . EMNLP (Findings), page 169-181. Association for Computational Linguistics, (2022)A Multi-Representation Ensemble Approach to Classifying Vocal Diseases., , , and . IEEE BigData, page 5258-5262. IEEE, (2018)Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization., , , , , , and . ICLR, OpenReview.net, (2023)Improving Out-of-Vocabulary Handling in Recommendation Systems., , , , , , , and . CoRR, (2024)Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond., , , , , , , , and . AAAI, page 7754-7761. AAAI Press, (2021)Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization., , , , , , and . CoRR, (2022)Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning., , , and . AAAI, page 4383-4390. AAAI Press, (2023)