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Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications., , , , , , , , , and 2 other author(s). KDD, page 5270-5281. ACM, (2023)Graph Neural Networks in Life Sciences: Opportunities and Solutions., , , , , , and . KDD, page 4834-4835. ACM, (2022)Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation., , , and . CoRR, (2021)Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering., , and . CoRR, (2017)Pruned Graph Scattering Transforms., , and . ICLR, OpenReview.net, (2020)Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information., , , , , , , and . ICLR, OpenReview.net, (2023)Edge Dithering for Robust Adaptive Graph Convolutional Networks., and . CoRR, (2019)Semi-parametric graph kernel-based reconstruction., , and . GlobalSIP, page 588-592. IEEE, (2017)OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization., , , , , , , , , and . CoRR, (2023)Efficient and Stable Graph Scattering Transforms via Pruning., , and . IEEE Trans. Pattern Anal. Mach. Intell., 44 (3): 1232-1246 (2022)