N-WL: A New Hierarchy of Expressivity for Graph Neural Networks

no code implementations • The Eleventh International Conference on Learning Representations 2023 • Qing Wang, Dillon Chen, Asiri Wijesinghe, Shouheng Li, Muhammad Farhan

The expressive power of Graph Neural Networks (GNNs) is fundamental for understanding their capabilities and limitations, i. e., what graph properties can or cannot be learnt by a GNN.

Efficient Approximation Algorithms for Strings Kernel Based Sequence Classification

1 code implementation • NeurIPS 2017 • Muhammad Farhan, Juvaria Tariq, Arif Zaman, Mudassir Shabbir, Imdad Ullah Khan

Sequence classification algorithms, such as SVM, require a definition of distance (similarity) measure between two sequences.

Classification General Classification