Self-Supervised Learning in GNNs 具体来说,这些SSL方法构造了一个预定义的代理任务,为未标记的节点/图分配伪标签,然后在设计的代理任务上训练模型来学习表示。以对比学习为例,基于同质性假设,相似性越高认为标签一致(算是伪标签),通过最大化互信息下界的损失函数,来指导模型训练; Multi-Task Self-Supervised ...
[ICLR 2022] A PyTorch implementation of paper "Automated Self-Supervised Learning for Graphs". Abstract We observe that different pretext tasks affect downstream tasks differently cross datasets, which suggests that searching pretext tasks is crucial for graph self-supervised learning. Different from exis...
Relative molecule self-attention transformer Łukasz Maziarka Dawid Majchrowski Stanisław Jastrzębski Journal of Cheminformatics (2024) GraphsformerCPI: Graph Transformer for Compound–Protein Interaction Prediction Jun Ma Zhili Zhao Ruisheng Zhang Interdisciplinary Sciences: Computational Life Scienc...
& Shi, X. Deep semantic role labeling with self-attention. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence 16725 (AAAI, 2018). He, K., Zhang, X., Ren, S. & Sun, J. J. Deep residual learning for image recognition. In Proceedings of the IEEE Conference ...
Function MRI Representation Learning via Self-supervised Transformer for Automated Brain Disorder AnalysisMajor depressive disorder (MDD) is a prevalent mental health disorder whose neuropathophysiology remains unclear. Resting-state functional magnetic resonance imaging (rs-fMRI) has been used to capture ...
Task Definition Figure below shows a NLP framework for automated fact-checking (AFC) with text consisting of three stages: Claim detection to identify claims that require verification; Evidence retrievalto find sources supporting or refuting the claim; ...
To address these issues, this paper introduces VulDecgre, a novel vulnerability detection model comprising two components: (1) An enhanced code graph structure that fuses multiple graphs and relational edges to improve code representation. (2) A natural sequence-aware learning module that integrates ...
43 DEAR DEAR: A Novel Deep Learning-based Approach for Automated Program Repair 2022 ICSE https://github.com/AutomatedProgramRepair-2021/dear-auto-fix Java Defects4J A 44 SelfAPR SelfAPR: Self-supervised Program Repair with Test Execution Diagnostics 2022 ASE https://github.com/SophieHYe/SelfAPR...
Fully automated machine learning (AutoML) for predictive modeling is becoming a reality, giving rise to a whole new field. We present the basic ideas and principles of Just Add Data Bio (JADBio), an AutoML platform applicable to the low-sample, high-dime
Veracity Classification: classify the veracity of textual claims given retrieved evidence. Datasets Claim Detection and Extraction Dataset Verdict Prediction Relevant Surveys Automated Fact-Checking Deep learning for misinformation detection on online social networks: a survey and new perspectives (Islam et al...