Summary of A Differential Geometric View and Explainability Of Gnn on Evolving Graphs, by Yazheng Liu et al.
A Differential Geometric View and Explainability of GNN on Evolving Graphsby Yazheng Liu, Xi Zhang,…
Summary of Generalization Of Graph Neural Networks Through the Lens Of Homomorphism, by Shouheng Li et al.
Generalization of Graph Neural Networks through the Lens of Homomorphismby Shouheng Li, Dongwoo Kim, Qing…
Summary of Local Vertex Colouring Graph Neural Networks, by Shouheng Li et al.
Local Vertex Colouring Graph Neural Networksby Shouheng Li, Dongwoo Kim, Qing WangFirst submitted to arxiv…
Summary of Cooperative Classification and Rationalization For Graph Generalization, by Linan Yue et al.
Cooperative Classification and Rationalization for Graph Generalizationby Linan Yue, Qi Liu, Ye Liu, Weibo Gao,…
Summary of Gnn-vpa: a Variance-preserving Aggregation Strategy For Graph Neural Networks, by Lisa Schneckenreiter et al.
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networksby Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak,…
Summary of Bloomgml: Graph Machine Learning Through the Lens Of Bilevel Optimization, by Amber Yijia Zheng and Tong He and Yixuan Qiu and Minjie Wang and David Wipf
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimizationby Amber Yijia Zheng, Tong He,…
Summary of In-n-out: Calibrating Graph Neural Networks For Link Prediction, by Erik Nascimento et al.
In-n-Out: Calibrating Graph Neural Networks for Link Predictionby Erik Nascimento, Diego Mesquita, Samuel Kaski, Amauri…
Summary of Entropy Aware Message Passing in Graph Neural Networks, by Philipp Nazari et al.
Entropy Aware Message Passing in Graph Neural Networksby Philipp Nazari, Oliver Lemke, Davide Guidobene, Artiom…
Summary of A Survey Of Graph Neural Networks in Real World: Imbalance, Noise, Privacy and Ood Challenges, by Wei Ju et al.
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challengesby…
Summary of Learning Invariant Representations Of Graph Neural Networks Via Cluster Generalization, by Donglin Xia et al.
Learning Invariant Representations of Graph Neural Networks via Cluster Generalizationby Donglin Xia, Xiao Wang, Nian…