EssentialGIN: a new approach for gene essentiality prediction based on graph isomorphism neural networks

arXiv:2606.07700 · cs.LG, cs.AI · Submitted 2026-06-05 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-06-05

Updated: 2026-09-17

Comments: 19 pages, 5 figures, 8 tables

Code: https://github.com/saharmansourirad/EssentialGIN

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Graph Isomorphism Network — 16× in this paper
• Accuracy — 13× in this paper · explained in 1 episode
• AUC — 9× in this paper · explained in 2 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• GNNs — 5× in this paper · explained in 2 episodes
• Activation Function — 3× in this paper · explained in 1 episode
• Feature Extraction — 3× in this paper · explained in 2 episodes
• Computational Biology — 2× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 2× in this paper · explained in 7 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Institute for Advanced Studies in Basic Sciences — 1× in this paper
• Ontology — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Strategies for Pre-training Graph Neural Networks

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