Description
Per the authors, Graph Isomorphism Network (GIN) generalizes the WL test and hence achieves maximum discriminative power among GNNs.
Papers Using This Method
Evaluating Loss Functions for Graph Neural Networks: Towards Pretraining and Generalization2025-06-17GNN-Suite: a Graph Neural Network Benchmarking Framework for Biomedical Informatics2025-05-15Robustness questions the interpretability of graph neural networks: what to do?2025-05-05Unlocking the Potential of Classic GNNs for Graph-level Tasks: Simple Architectures Meet Excellence2025-02-13DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules2025-01-05Graph-Aware Isomorphic Attention for Adaptive Dynamics in Transformers2025-01-04Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition2024-12-18Using Half-Precision for GNN Training2024-11-02An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case Study2024-07-26Tackling Oversmoothing in GNN via Graph Sparsification: A Truss-based Approach2024-07-16Network Analytics for Anti-Money Laundering -- A Systematic Literature Review and Experimental Evaluation2024-05-29NaNa and MiGu: Semantic Data Augmentation Techniques to Enhance Protein Classification in Graph Neural Networks2024-03-21A Simple and Yet Fairly Effective Defense for Graph Neural Networks2024-02-21On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks2024-01-11On the Adversarial Robustness of Graph Contrastive Learning Methods2023-11-29Enhancing Genetic Improvement Mutations Using Large Language Models2023-10-18Graph Isomorphic Networks for Assessing Reliability of the Medium-Voltage Grid2023-10-02GIN: Generative INvariant Shape Prior for Amodal Instance Segmentation2023-09-22InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update2023-09-20Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables2023-08-13