 MentorGNN: Deriving Curriculum for Pre-Training GNNsInternational Conference on Information and Knowledge Management (CIKM), 2022 |
 KerGNNs: Interpretable Graph Neural Networks with Graph KernelsAAAI Conference on Artificial Intelligence (AAAI), 2022 |
 Self-supervised Graph-level Representation Learning with Local and
Global StructureInternational Conference on Machine Learning (ICML), 2021 |
 Cooperative Policy Learning with Pre-trained Heterogeneous Observation
RepresentationsAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 |
 Motif-Driven Contrastive Learning of Graph RepresentationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 |
 Graph Neural Networks: Taxonomy, Advances and TrendsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020 |
 Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous
GraphsNeural Information Processing Systems (NeurIPS), 2020 |
 Convolutional Kernel Networks for Graph-Structured DataInternational Conference on Machine Learning (ICML), 2020 |
 Strategies for Pre-training Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2019 |
 Graph Kernels: A SurveyJournal of Artificial Intelligence Research (JAIR), 2019 |
