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Inductive Learning

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TitleStatusHype
Is deep learning necessary for simple classification tasks?Code3
Inductive Learning on Commonsense Knowledge Graph CompletionCode1
Representation Learning for Attributed Multiplex Heterogeneous NetworkCode1
Cross-Node Federated Graph Neural Network for Spatio-Temporal Data ModelingCode1
Neural Logic MachinesCode1
Inductive Relation Prediction by BERTCode1
GraphSAINT: Graph Sampling Based Inductive Learning MethodCode1
Learning to Solve Constraint Satisfaction Problems with Recurrent TransformerCode1
Sparsity-aware neural user behavior modeling in online interaction platformsCode1
FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed DataCode1
Benchmarking Regression Methods: A comparison with CGANCode1
Facing Changes: Continual Entity Alignment for Growing Knowledge GraphsCode1
Joint Inductive and Transductive Learning for Video Object SegmentationCode1
Chronosymbolic Learning: Efficient CHC Solving with Symbolic Reasoning and Inductive LearningCode1
Multi-modal Graph Learning for Disease PredictionCode1
InGram: Inductive Knowledge Graph Embedding via Relation GraphsCode1
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node EmbeddingsCode1
Learning to Learn Better for Video Object SegmentationCode1
On-the-Fly Category DiscoveryCode1
Sparse Structure Learning via Graph Neural Networks for Inductive Document ClassificationCode1
Deep Graph Contrastive Representation LearningCode1
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal KrigingCode1
Transductive Learning for Unsupervised Text Style TransferCode1
Towards Open-World Feature Extrapolation: An Inductive Graph Learning ApproachCode1
Deep Graph InfomaxCode1
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided NeurosurgeryCode1
Deep Iterative and Adaptive Learning for Graph Neural NetworksCode1
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNsCode1
HGATE: Heterogeneous Graph Attention Auto-EncodersCode1
funcGNN: A Graph Neural Network Approach to Program SimilarityCode1
FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed DataCode1
Learning to Generate Levels From NothingCode1
A Collective Learning Framework to Boost GNN Expressiveness—0
An Uncoupled Training Architecture for Large Graph Learning—0
Deep Transfer Q-Learning for Offline Non-Stationary Reinforcement Learning—0
A Theory of Formal Synthesis via Inductive Learning—0
Improving Fuzzy Rule Classifier with Brain Storm Optimization and Rule Modification—0
A system of serial computation for classified rules prediction in non-regular ontology trees—0
Graphs, Entities, and Step Mixture—0
From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition—0
FOLD-TR: A Scalable and Efficient Inductive Learning Algorithm for Learning To Rank—0
A survey of dynamic graph neural networks—0
Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization—0
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks—0
FOLD-R++: A Toolset for Automated Inductive Learning of Default Theories from Mixed Data—0
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach—0
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning—0
A Clustering and Demotion Based Algorithm for Inductive Learning of Default Theories—0
GraphCL: Contrastive Self-Supervised Learning of Graph Representations—0
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information—0
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