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| Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs | Jul 23, 2022 | Entity AlignmentInductive Learning | CodeCode Available | 1 |
| A Collective Learning Framework to Boost GNN Expressiveness | Mar 26, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| An Uncoupled Training Architecture for Large Graph Learning | Mar 21, 2020 | Graph LearningInductive Learning | —Unverified | 0 |
| From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition | Feb 10, 2020 | Inductive LearningZero-Shot Learning | —Unverified | 0 |
| Deep Transfer Q-Learning for Offline Non-Stationary Reinforcement Learning | Jan 8, 2025 | Decision MakingInductive Learning | —Unverified | 0 |
| A Theory of Formal Synthesis via Inductive Learning | May 15, 2015 | BIG-bench Machine LearningInductive Learning | —Unverified | 0 |
| A system of serial computation for classified rules prediction in non-regular ontology trees | Apr 8, 2016 | Decision MakingInductive Learning | —Unverified | 0 |
| A survey of dynamic graph neural networks | Apr 28, 2024 | Inductive LearningSurvey | —Unverified | 0 |
| Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization | Dec 25, 2024 | image-classificationImage Classification | —Unverified | 0 |
