Ugsl: A unified framework for benchmarking graph structure learning

B Fatemi, S Abu-El-Haija, A Tsitsulin, M Kazemi… - arXiv preprint arXiv …, 2023 - arxiv.org
Graph neural networks (GNNs) demonstrate outstanding performance in a broad range of
applications. While the majority of GNN applications assume that a graph structure is given …
被引用次数：6 相关文章

UGSL: A Unified Framework for Benchmarking Graph Structure Learning

B Fatemi, S Abu-El-Haija, A Tsitsulin… - arXiv e …, 2023 - ui.adsabs.harvard.edu
Graph neural networks (GNNs) demonstrate outstanding performance in a broad range of
applications. While the majority of GNN applications assume that a graph structure is given …

UGSL: A Unified Framework for Benchmarking Graph Structure Learning

B Fatemi, S Abu-El-Haija, A Tsitsulin, M Kazemi… - openreview.net
Graph neural networks (GNNs) demonstrate outstanding performance in a broad range of
applications. While the majority of GNN applications assume that a graph structure is given …

UGSL: A Unified Framework for Benchmarking Graph Structure Learning

B Fatemi, S Abu-El-Haija, A Tsitsulin, M Kazemi… - openreview.net
Graph neural networks (GNNs) demonstrate outstanding performance in a broad range of
applications. While the majority of GNN applications assume that a graph structure is given …