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Inductive Learning
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Mind The Gap: Deep Learning Doesn't Learn Deeply
Dual-channel Heterophilic Message Passing for Graph Fraud Detection
Standard Neural Computation Alone Is Insufficient for Logical Intelligence
Online inductive learning from answer sets for efficient reinforcement learning exploration
Inductive Learning of Robot Task Knowledge from Raw Data and Online Expert Feedback
Deep Transfer $Q$-Learning for Offline Non-Stationary Reinforcement Learning
Adversarial Training for Graph Neural Networks via Graph Subspace Energy Optimization
Graph Neural Networks for modelling breast biomechanical compression
Improving Fuzzy Rule Classifier with Brain Storm Optimization and Rule Modification
High-Order Evolving Graphs for Enhanced Representation of Traffic Dynamics
Sub-graph Based Diffusion Model for Link Prediction
Inductive Learning of Logical Theories with LLMs: An Expressivity-Graded Analysis
Fast-and-Frugal Text-Graph Transformers are Effective Link Predictors
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks
Enhancing Graph U-Nets for Mesh-Agnostic Spatio-Temporal Flow Prediction
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning
A survey of dynamic graph neural networks
CNN2GNN: How to Bridge CNN with GNN
Solving the Tree Containment Problem Using Graph Neural Networks
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
FlowCyt: A Comparative Study of Deep Learning Approaches for Multi-Class Classification in Flow Cytometry Benchmarking
Can LLMs Compute with Reasons?
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
Graph data modelling for outcome prediction in oropharyngeal cancer patients
LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm
Inductive Learning of Declarative Domain-Specific Heuristics for ASP
Modeling infant object perception as program induction
$\mathcal{G}^2Pxy$: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
Sequential Attention Source Identification Based on Feature Representation
Object Topological Character Acquisition by Inductive Learning
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