Co-occurring keywords · papers mentioning both
Papers
ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution
AAAI 2026
Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction
AAAI 2026
Self-Interpretable Subgraph Neural Network with Deep Reinforcement Walk Exploration
AAAI 2026
DS-MHP: Improving Chain-of-Thought through Dynamic Subgraph-Guided Multi-Hop Path
EMNLP 2025
Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks
AAAI 2025
KG-CQR: Leveraging Structured Relation Representations in Knowledge Graphs for Contextual Query Retrieval
EMNLP 2025
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
ICML 2025
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening
NeurIPS 2024
A Survey on Extractive Knowledge Graph Summarization: Applications, Approaches, Evaluation, and Future Directions
IJCAI 2024
Efficient Subgraph GNNs by Learning Effective Selection Policies
ICLR 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning
NeurIPS 2024
Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization
AAAI 2024
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
ICLR 2024
MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs
AAAI 2024
nlp_enjoyers at TextGraphs-17 Shared Task: Text-Graph Representations for Knowledge Graph Question Answering using all-MPNet
ACL 2024
TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
ACL 2024
Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks
ICLR 2024
Conditional Graph Information Bottleneck for Molecular Relational Learning
ICML 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power
NeurIPS 2023
Knowledge Graph Compression Enhances Diverse Commonsense Generation
EMNLP 2023
Learning Invariant Graph Representations for Out-of-Distribution Generalization
NeurIPS 2022
Prototype-Based Explanations for Graph Neural Networks (Student Abstract)
AAAI 2022
Decoupling the Depth and Scope of Graph Neural Networks
NeurIPS 2021
On Explainability of Graph Neural Networks via Subgraph Explorations
ICML 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
NeurIPS 2021