Summary of Perks and Pitfalls Of Faithfulness in Regular, Self-explainable and Domain Invariant Gnns, by Steve Azzolin et al.
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNsby Steve Azzolin, Antonio…
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNsby Steve Azzolin, Antonio…
Efficient Graph Similarity Computation with Alignment Regularizationby Wei Zhuo, Guang TanFirst submitted to arxiv on:…
Graph Neural Networks for Job Shop Scheduling Problems: A Surveyby Igor G. Smit, Jianan Zhou,…
Explainable AI Security: Exploring Robustness of Graph Neural Networks to Adversarial Attacksby Tao Wu, Canyixing…
GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networksby Fan Zhang, Xin ZhangFirst submitted to…
PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Securityby Louis Van Langendonck, Ismael…
RobGC: Towards Robust Graph Condensationby Xinyi Gao, Hongzhi Yin, Tong Chen, Guanhua Ye, Wentao Zhang,…
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modelingby Zhong Guan, Hongke Zhao, Likang…
Graph Neural Networks in Histopathology: Emerging Trends and Future Directionsby Siemen Brussee, Giorgio Buzzanca, Anne…
Demystifying Higher-Order Graph Neural Networksby Maciej Besta, Florian Scheidl, Lukas Gianinazzi, Grzegorz Kwasniewski, Shachar Klaiman,…