Tag: gnn
All the talks with the tag "gnn".
GNNX-BENCH - Perturbation-based GNN Explainers
Rishi Raj SahooPublished: at 02:00 PMThis work presents a benchmark for Graph Neural Network Explainability with perturbation. This involves some metrics like Sufficiency, Necessity, Stability, and Reproducibility to observe which method performs better. Finally, the work provides recommendations for choosing methods for particular graph tasks.
Quaternion Graph Neural Networks
Rucha Bhalchandra JoshiPublished: at 02:00 PMRecently, graph neural networks (GNNs) have become an important and active research direction in deep learning. This talk proposes Quaternion Graph Neural Networks (QGNN) to learn graph representations within the Quaternion space, a hyper-complex vector space. The talk covers state-of-the-art results on benchmark datasets for graph classification and node classification, as well as knowledge graph completion.