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Poisonous Mushroom Detection Using Graph Neural Networks
This study delves into the use of Graph Neural Networks (GNNs) for the classification of poisonous and edible mushrooms based on image data, aiming to address the limitations of manual identification methods. Three GNN architectures, Graph Convolutional Network (GCN), GraphSAGE, and Graph Isomorphis...
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| creator | Pathirana, D.P.C.H Rajapaksha, R.M.T.U. Rathnayake, H.M. Samadhi Chathuranga Sirisena, Kosala Samarathunga, Udara |
| description | This study delves into the use of Graph Neural Networks (GNNs) for the classification of poisonous and edible mushrooms based on image data, aiming to address the limitations of manual identification methods. Three GNN architectures, Graph Convolutional Network (GCN), GraphSAGE, and Graph Isomorphism Network (GIN), are examined, with a comparison of the Adam and Stochastic Gradient Descent (SGD) optimizers within each. The results underscore GNNs' effectiveness in discerning toxic mushrooms by capturing nuanced pixel relationships, offering a valuable contribution to the fields of biology and toxicology, with practical implications for mushroom toxicity prevention. |
| doi_str_mv | 10.1109/ICAC60630.2023.10417353 |
| format | conference_proceeding |
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The results underscore GNNs' effectiveness in discerning toxic mushrooms by capturing nuanced pixel relationships, offering a valuable contribution to the fields of biology and toxicology, with practical implications for mushroom toxicity prevention.</description><subject>Biology</subject><subject>Computer architecture</subject><subject>Convolutional neural networks</subject><subject>Deep Learning</subject><subject>Graph neural networks</subject><subject>Image Processing</subject><subject>Mushroom classification</subject><subject>Poisonous Mushroom Detection</subject><subject>Toxicology</subject><issn>2837-5424</issn><isbn>9798350358131</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2023</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1j9tKw0AURUdBsNT8gWB-IPHMnLnlUaJWoV4e7HOZJCd2tM2UmQTx7w2osGG9bDZrM3bFoeQcquvH-qbWoBFKAQJLDpIbVHjCsspUFhWgshz5KVsIi6ZQUshzlqX0AQAoQILUC2Zfg09hCFPKn6a0iyEc8lsaqR19GPJN8sN7voruuMufaYpuP2P8CvEzXbCz3u0TZX9css393Vv9UKxfVrPZuvCcV2OhQaG2DlxLwvad7YxDqbuWOqGarkWhG2xMLzmIOWSpstSLWRWFaeYSLtnl764nou0x-oOL39v_s_gDYz1IoQ</recordid><startdate>20231207</startdate><enddate>20231207</enddate><creator>Pathirana, D.P.C.H</creator><creator>Rajapaksha, R.M.T.U.</creator><creator>Rathnayake, H.M. Samadhi Chathuranga</creator><creator>Sirisena, Kosala</creator><creator>Samarathunga, Udara</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>20231207</creationdate><title>Poisonous Mushroom Detection Using Graph Neural Networks</title><author>Pathirana, D.P.C.H ; Rajapaksha, R.M.T.U. ; Rathnayake, H.M. 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Samadhi Chathuranga</creatorcontrib><creatorcontrib>Sirisena, Kosala</creatorcontrib><creatorcontrib>Samarathunga, Udara</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Pathirana, D.P.C.H</au><au>Rajapaksha, R.M.T.U.</au><au>Rathnayake, H.M. 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| fulltext | fulltext_linktorsrc |
| identifier | EISSN: 2837-5424 |
| ispartof | 2023 5th International Conference on Advancements in Computing (ICAC), 2023, p.328-333 |
| issn | 2837-5424 |
| language | eng |
| recordid | cdi_ieee_primary_10417353 |
| source | IEEE Xplore All Conference Series |
| subjects | Biology Computer architecture Convolutional neural networks Deep Learning Graph neural networks Image Processing Mushroom classification Poisonous Mushroom Detection Toxicology |
| title | Poisonous Mushroom Detection Using Graph Neural Networks |
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