36 citations · 43 across the 3 of their papers we have counts for
3 papers
FAENet: Frame Averaging Equivariant GNN for Materials Modeling
Alexandre Duval, Victor Schmidt, Alex Hernandez Garcia +4
Applications of machine learning techniques for materials modeling typically involve functions known to be equivariant or invariant to specific symmetries. While graph neural netwo…
Higher-order Sparse Convolutions in Graph Neural Networks
Jhony H. Giraldo, Sajid Javed, Arif Mahmood +2
Graph Neural Networks (GNNs) have been applied to many problems in computer sciences. Capturing higher-order relationships between nodes is crucial to increase the expressive power…
Higher-order Clustering and Pooling for Graph Neural Networks
Alexandre Duval, Fragkiskos Malliaros
Graph Neural Networks achieve state-of-the-art performance on a plethora of graph classification tasks, especially due to pooling operators, which aggregate learned node embeddings…