Context-aware Graph Causality Inference for Few-Shot Molecular Property Prediction
Paper • 2601.11135 • Published • 2
Papers from NS Lab @ CUK
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Pre-training Graph Neural Networks on 2D and 3D Molecular Structures by using Multi-View Conditional Information Bottleneck
Paper • 2511.18404 • Published • 1 -
Discovering Spatial Correlations of Earth Observations for weather forecasting by using Graph Structure Learning
Paper • 2508.07659 • Published -
Mitigating Degree Bias in Graph Representation Learning with Learnable Structural Augmentation and Structural Self-Attention
Paper • 2504.15075 • Published • 1 -
Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
Paper • 2501.05768 • Published • 1 -
Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Paper • 2412.15589 • Published • 1 -
Explainable Graph Neural Networks for Observation Impact Analysis in Atmospheric State Estimation
Paper • 2403.17384 • Published -
CloudNine: Analyzing Meteorological Observation Impact on Weather Prediction Using Explainable Graph Neural Networks
Paper • 2402.14861 • Published -
A Survey on Structure-Preserving Graph Transformers
Paper • 2401.16176 • Published • 1 -
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures
Paper • 2312.16788 • Published • 1 -
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning
Paper • 2309.03219 • Published • 1 -
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based Similarity
Paper • 2308.09517 • Published • 1 -
Connector 0.5: A unified framework for graph representation learning
Paper • 2304.13195 • Published • 1