[논문 리뷰] Robustness questions the interpretability of graph neural ...
Figure 3 from Improving Node Classification Accuracy of GNN through ...
[논문 리뷰] On the Geometric Coherence of Global Aggregation in Federated GNN
[논문 리뷰] StormNet: Improving storm surge predictions with a GNN-based ...
[논문 리뷰] GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning ...
[논문 리뷰] Return of ChebNet: Understanding and Improving an Overlooked ...
[논문 리뷰] Improving Network Interpretability via Explanation Consistency ...
Schematic of the GNN model's input and output. On the upper left are ...
[논문 리뷰] Directed Link Prediction using GNN with Local and Global ...
[논문 리뷰] GNNMerge: Merging of GNN Models Without Accessing Training Data
[논문 리뷰] Forget and Explain: Transparent Verification of GNN Unlearning
The overall procedure of implementing a GNN model: construct graphs ...
[논문 리뷰] From GNNs to Trees: Multi-Granular Interpretability for Graph ...
Figure 1 from Multi-objective Explanations of GNN Predictions ...
[논문 리뷰] Improving Large Language Models Function Calling and ...
[논문 리뷰] The Oversmoothing Fallacy: A Misguided Narrative in GNN Research
[논문 리뷰] DRExplainer: Quantifiable Interpretability in Drug Response ...
[논문 리뷰] NeuraChip: Accelerating GNN Computations with a Hash-based ...
[논문 리뷰] Using Large Language Models and Knowledge Graphs to Improve the ...
[논문 리뷰] Accelerating GNN Training through Locality-aware Dropout and Merge
Comparison of GNN predictions and experimental data. | Download ...
[논문 리뷰] Verifying Machine Learning Interpretability Requirements ...
[논문 리뷰] Through a Steerable Lens: Magnifying Neural Network ...
[논문 리뷰] Panther: A Cost-Effective Privacy-Preserving Framework for GNN ...
The general workflow of GNN in molecular property prediction | Download ...
Schematic showing the prediction logic implemented in our GNN models ...
[논문 리뷰] QA-GNN: Reasoning with Language Models and Knowledge Graphs for ...
[논문 리뷰] Representing Long-Range Context for Graph Neural Networks with ...
[논문 리뷰] GNN-enhanced Traffic Anomaly Detection for Next-Generation SDN ...
[논문 리뷰] Energy-Efficient Dynamic Training and Inference for GNN-Based ...
[논문 리뷰] i-WiViG: Interpretable Window Vision GNN
[논문 리뷰] RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks ...
[논문 리뷰] GNN-XAR: A Graph Neural Network for Explainable Activity ...
[논문 리뷰] UTAL-GNN: Unsupervised Temporal Action Localization using Graph ...
[논문 리뷰] KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network ...
[논문 리뷰] LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph ...
[논문 리뷰] Soybean Disease Detection via Interpretable Hybrid CNN-GNN ...
Figure 1 from GNN Explainer: A Tool for Post-hoc Explanation of Graph ...
GraphTrail: Translating GNN Predictions into Human-Interpretable ...
[논문 리뷰] ST-TGExplainer: Disentangling Stability and Transition Patterns ...
[논문 리뷰] SLInterpreter: An Exploratory and Iterative Human-AI ...
[논문 리뷰] Morphling: Fast, Fused, and Flexible GNN Training at Scale
KG-GNN Enhanced Reasoning for Autism LLM | Proceedings of the 2025 11th ...
[논문 리뷰] Cluster Paths: Navigating Interpretability in Neural Networks
Schematic of analyzing whether GNN can capture human knowledge behind ...
[논문 리뷰] HT-GNN: Hyper-Temporal Graph Neural Network for Customer ...
论文笔记 | ICML 2022 | GraphFM: Improving Large-Scale GNN Training via ...
Optimizing GNN Architectures Through Nonlinear Activation Functions for ...
[논문 리뷰] MIB: A Mechanistic Interpretability Benchmark
Schematic of analyzing whether a GNN can capture knowledge of crystal ...
A 12-layer GNN model with all nodes of each graph as input layers ...
Exploring the Potential of Graph Neural Networks to Transform ...
[논문 리뷰] GNN-ACLP: Graph Neural Networks based Analog Circuit Link ...
Traffic Management in IoT Backbone Networks Using GNN and MAB with SDN ...
Improving Graph Neural Network Models in Link Prediction Task via A ...
Figure 6 from Enhancing NLP through GNN-Driven Knowledge Graph Rewiring ...
[논문 리뷰] AGS-GNN: Attribute-guided Sampling for Graph Neural Networks
[논문 리뷰] Verifier Warnings Do Not Improve Comprehensibility Prediction
Improving Reliable Navigation under Uncertainty with Non-Local ...
[논문 리뷰] Inference-friendly Graph Compression for Graph Neural Networks
[논문 리뷰] GNN-based Anchor Embedding for Exact Subgraph Matching
[논문 리뷰] GNN-enabled Precoding for Massive MIMO LEO Satellite Communications
Explainability of Graph Neural Networks - Speaker Deck
Enhanced Graph Deviation Networks for Anomaly Detection in Space ...
논문 디스커션 #4 Pan et al., ACL, 2025, “GraphNarrator: Generating Textual ...
GNN Explainer: Generating Explanations for Graph Neural Networks | Hoonst
GNN기반 추천 시스템 조사 - 논문 리뷰: Graph neural networks in recommender systems ...
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(PDF) Human-in-the-Loop Integration with Domain-Knowledge Graphs for ...
A Survey on GNN‐Based Link Prediction: Techniques, Applications, and ...
[2210.16789] STGC-GNNs: A GNN-based traffic prediction framework with a ...
A Secure GNN Training Framework for Partially Observable Graph
GnnXemplar: Exemplars to Explanations - Natural Language Rules for ...
【GNN报告】GNN可解释性 & 基于几何与拓扑特性的图学习_discovering invariant rationales for ...
A GNN-Based Placement Optimization Guidance Framework by Physical and ...
General architecture for intrusion detection with GNN-based methods. In ...
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[论文评述] Using GNN property predictors as molecule generators
240401_Thuy_Labseminar[Train Once and Explain Everywhere: Pre-training ...
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Graph Neural Networks for Intelligent Modelling in Network Management ...
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(PDF) Interactivity Recognition Graph Neural Network (IR-GNN) Model for ...
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