 Power up! Robust Graph Convolutional Network via Graph PoweringAAAI Conference on Artificial Intelligence (AAAI), 2019 |
 Graph Representations for Higher-Order Logic and Theorem ProvingAAAI Conference on Artificial Intelligence (AAAI), 2019 |
 Meta-GNN: On Few-shot Node Classification in Graph Meta-learningInternational Conference on Information and Knowledge Management (CIKM), 2019 |
 Gravity-Inspired Graph Autoencoders for Directed Link PredictionInternational Conference on Information and Knowledge Management (CIKM), 2019 |
 Function Space Pooling For Graph Convolutional NetworksInternational Cross-Domain Conference on Machine Learning and Knowledge Extraction (CD-MAKE), 2019 |
 ActiveHNE: Active Heterogeneous Network EmbeddingInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 |
 Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot
Learning on Category GraphInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 |
 Deep Closest Point: Learning Representations for Point Cloud
RegistrationIEEE International Conference on Computer Vision (ICCV), 2019 Yue Wang Justin Solomon |
 Graph Convolutional Networks with EigenPoolingKnowledge Discovery and Data Mining (KDD), 2019 |
 Graph Kernels: A SurveyJournal of Artificial Intelligence Research (JAIR), 2019 |
 A Comparative Study for Unsupervised Network Representation LearningIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019 |
 |
 Gaussian Conditional Random Fields for ClassificationExpert systems with applications (ESWA), 2019 |
 On the Transferability of Spectral Graph FiltersInternational Conference on Sampling Theory and Applications (SampTA), 2019 |
 |
