Graph neural network (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Graph neural network" in English language version.

refsWebsite

Global rank English rank

31arxiv.org

69^th place

59^th place

23doi.org

2^nd place

13semanticscholar.org

11^th place

8^th place

12nih.gov

4^th place

9harvard.edu

18^th place

17^th place

9worldcat.org

5^th place

4github.com

383^rd place

320^th place

2distill.pub

low place

2neurips.cc

low place

2stanford.edu

179^th place

183^rd place

1graph-neural-networks.github.io

low place

1nature.com

234^th place

397^th place

1nowpublishers.com

low place

1oup.com

485^th place

440^th place

1mlr.press

low place

1dgl.ai

low place

1leogrady.net

low place

1springer.com

274^th place

309^th place

1theguardian.com

12^th place

11^th place

1technologyreview.com

1,943^rd place

1,253^rd place

1handle.net

102^nd place

76^th place

1ieee.org

652^nd place

515^th place

1ndss-symposium.org

low place

1wiley.com

222^nd place

297^th place

arxiv.org (Global: 69^th place; English: 59^th place)

Yang, Kevin; Swanson, Kyle; Jin, Wengong; Coley, Connor; Eiden, Philipp; Gao, Hua; Guzman-Perez, Angel; Hopper, Timothy; Kelley, Brian (20 November 2019). "Analyzing Learned Molecular Representations for Property Prediction". arXiv:1904.01561 [cs.LG].
Kipf, Thomas N; Welling, Max (2016). "The Graph Neural Network Model". IEEE Transactions on Neural Networks. 20 (1): 61–80. arXiv:1609.02907. Bibcode:2009ITNN...20...61S. doi:10.1109/TNN.2008.2005605. PMID 19068426. S2CID 206756462.
Hamilton, William; Ying, Rex; Leskovec, Jure (2017). "Inductive Representation Learning on Large Graphs" (PDF). Neural Information Processing Systems. 31. arXiv:1706.02216 – via Stanford.
Veličković, Petar; Cucurull, Guillem; Casanova, Arantxa; Romero, Adriana; Liò, Pietro; Bengio, Yoshua (4 February 2018). "Graph Attention Networks". arXiv:1710.10903 [stat.ML].
Bronstein, Michael M.; Bruna, Joan; Cohen, Taco; Veličković, Petar (4 May 2021). "Geometric Deep Learning: Grids, Groups, Graphs Geodesics and Gauges". arXiv:2104.13478 [cs.LG].
Hajij, M.; Zamzmi, G.; Papamarkou, T.; Miolane, N.; Guzmán-Sáenz, A.; Ramamurthy, K. N.; Schaub, M. T. (2022). "Topological deep learning: Going beyond graph data". arXiv:2206.00606 [cs.LG].
Veličković, Petar (2022). "Message passing all the way up". arXiv:2202.11097 [cs.LG].
Wu, Lingfei; Chen, Yu; Shen, Kai; Guo, Xiaojie; Gao, Hanning; Li, Shucheng; Pei, Jian; Long, Bo (2023). "Graph Neural Networks for Natural Language Processing: A Survey". Foundations and Trends in Machine Learning. 16 (2): 119–328. arXiv:2106.06090. doi:10.1561/2200000096. ISSN 1941-0093. S2CID 206756462.
Ying, Rex; He, Ruining; Chen, Kaifeng; Eksombatchai, Pong; Hamilton, William L.; Leskovec, Jure (2018). Graph Convolutional Neural Networks for Web-Scale Recommender Systems. pp. 974–983. arXiv:1806.01973. doi:10.1145/3219819.3219890. ISBN 978-1-4503-5552-0. S2CID 46949657.
Gilmer, Justin; Schoenholz, Samuel S.; Riley, Patrick F.; Vinyals, Oriol; Dahl, George E. (17 July 2017). "Neural Message Passing for Quantum Chemistry". Proceedings of Machine Learning Research: 1263–1272. arXiv:1704.01212.
Qasim, Shah Rukh; Kieseler, Jan; Iiyama, Yutaro; Pierini, Maurizio Pierini (2019). "Learning representations of irregular particle-detector geometry with distance-weighted graph networks". The European Physical Journal C. 79 (7): 608. arXiv:1902.07987. Bibcode:2019EPJC...79..608Q. doi:10.1140/epjc/s10052-019-7113-9. S2CID 88518244.
Li, Zhuwen; Chen, Qifeng; Koltun, Vladlen (2018). "Text Simplification with Self-Attention-Based Pointer-Generator Networks". Neural Information Processing. Lecture Notes in Computer Science. Vol. 31. pp. 537–546. arXiv:1810.10659. doi:10.1007/978-3-030-04221-9_48. ISBN 978-3-030-04220-2.
Matthias, Fey; Lenssen, Jan E. (2019). "Fast Graph Representation Learning with PyTorch Geometric". arXiv:1903.02428 [cs.LG].
Gao, Hongyang; Ji, Shuiwang Ji (2019). "Graph U-Nets". arXiv:1905.05178 [cs.LG].
Lee, Junhyun; Lee, Inyeop; Kang, Jaewoo (2019). "Self-Attention Graph Pooling". arXiv:1904.08082 [cs.LG].
Liu, Chuang; Zhan, Yibing; Li, Chang; Du, Bo; Wu, Jia; Hu, Wenbin; Liu, Tongliang; Tao, Dacheng (2022). "Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities". arXiv:2204.07321 [cs.LG].
Douglas, B. L. (27 January 2011). "The Weisfeiler–Lehman Method and Graph Isomorphism Testing". arXiv:1101.5211 [math.CO].
Xu, Keyulu; Hu, Weihua; Leskovec, Jure; Jegelka, Stefanie (22 February 2019). "How Powerful are Graph Neural Networks?". arXiv:1810.00826 [cs.LG].
Bodnar, Christian; Frasca, Fabrizio; Guang Wang, Yu; Otter, Nina; Montúfar, Guido; Liò, Pietro; Bronstein, Michael (2021). "Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks". arXiv:2103.03212 [cs.LG].
Chen, Deli; Lin, Yankai; Li, Wei; Li, Peng; Zhou, Jie; Sun, Xu (2020). "Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View". Proceedings of the AAAI Conference on Artificial Intelligence. 34 (4): 3438–3445. arXiv:1909.03211. doi:10.1609/aaai.v34i04.5747. S2CID 202539008.
Alon, Uri; Yahav, Eran (2021). "On the Bottleneck of Graph Neural Networks and its Practical Implications". arXiv:2006.05205 [cs.LG].
Xu, Keyulu; Zhang, Mozhi; Jegelka, Stephanie; Kawaguchi, Kenji (2021). "Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth". arXiv:2105.04550 [cs.LG].
Li, Yujia; Tarlow, Daniel; Brockschmidt, Mark; Zemel, Richard (2016). "Gated Graph Sequence Neural Networks". arXiv:1511.05493 [cs.LG].
Xu, Keyulu; Li, Chengtao; Tian, Yonglong; Sonobe, Tomohiro; Kawarabayashi, Ken-ichi; Jegelka, Stefanie (2018). "Representation Learning on Graphs with Jumping Knowledge Networks". arXiv:1806.03536 [cs.LG].
Luan, Sitao; Hua, Chenqing; Lu, Qincheng; Ma, Liheng; Wu, Lirong; Wang, Xinyu; Xu, Minkai; Chang, Xiao-Wen; Precup, Doina; Ying, Rex; Li, Stan Z.; Tang, Jian; Wolf, Guy; Jegelka, Stefanie (2024). "The Heterophilic Graph Learning Handbook: Benchmarks, Models, Theoretical Analysis, Applications and Challenges". arXiv:2407.09618 [cs.LG].
Luan, Sitao; Hua, Chenqing; Lu, Qincheng; Zhu, Jiaqi; Zhao, Mingde; Zhang, Shuyuan; Chang, Xiao-Wen; Precup, Doina (6 December 2022). "Revisiting Heterophily For Graph Neural Networks". Advances in Neural Information Processing Systems. 35: 1362–1375. arXiv:2210.07606.
Fan, Wenqi; Ma, Yao; Li, Qing; He, Yuan; Zhao, Eric; Tang, Jiliang; Yin, Dawei (2019). Graph Neural Networks for Social Recommendation. pp. 417–426. arXiv:1902.07243. doi:10.1145/3308558.3313488. hdl:10397/81232. ISBN 978-1-4503-6674-8. S2CID 67769538.
Cappart, Quentin; Chételat, Didier; Khalil, Elias; Lodi, Andrea; Morris, Christopher; Veličković, Petar (2021). "Combinatorial optimization and reasoning with graph neural networks". arXiv:2102.09544 [cs.LG].
Gasse, Maxime; Chételat, Didier; Ferroni, Nicola; Charlin, Laurent; Lodi, Andrea (2019). "Exact Combinatorial Optimization with Graph Convolutional Neural Networks". arXiv:1906.01629 [cs.LG].
Wang, Su; Wang, Zhiliang; Zhou, Tao; Sun, Hongbin; Yin, Xia; Han, Dongqi; Zhang, Han; Shi, Xingang; Yang, Jiahai (2022). "Threatrace: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning". IEEE Transactions on Information Forensics and Security. 17: 3972–3987. arXiv:2111.04333. Bibcode:2022ITIF...17.3972W. doi:10.1109/TIFS.2022.3208815. ISSN 1556-6021. S2CID 243847506.
Han, Kai; Wang, Yunhe; Guo, Jianyuan; Tang, Yehui; Wu, Enhua (2022). "Vision GNN: An Image is Worth Graph of Nodes". arXiv:2206.00272 [cs.CV].

dgl.ai (Global: low place; English: low place)

"Deep Graph Library (DGL)". Retrieved 12 September 2024.

distill.pub (Global: low place; English: low place)

Sanchez-Lengeling, Benjamin; Reif, Emily; Pearce, Adam; Wiltschko, Alex (2 September 2021). "A Gentle Introduction to Graph Neural Networks". Distill. 6 (9) e33. doi:10.23915/distill.00033. ISSN 2476-0757.
Daigavane, Ameya; Ravindran, Balaraman; Aggarwal, Gaurav (2 September 2021). "Understanding Convolutions on Graphs". Distill. 6 (9) e32. doi:10.23915/distill.00032. ISSN 2476-0757. S2CID 239678898.

doi.org (Global: 2^nd place; English: 2^nd place)

Scarselli, Franco; Gori, Marco; Tsoi, Ah Chung; Hagenbuchner, Markus; Monfardini, Gabriele (2009). "The Graph Neural Network Model". IEEE Transactions on Neural Networks. 20 (1): 61–80. Bibcode:2009ITNN...20...61S. doi:10.1109/TNN.2008.2005605. ISSN 1941-0093. PMID 19068426. S2CID 206756462.
Micheli, Alessio (2009). "Neural Network for Graphs: A Contextual Constructive Approach". IEEE Transactions on Neural Networks. 20 (3): 498–511. Bibcode:2009ITNN...20..498M. doi:10.1109/TNN.2008.2010350. ISSN 1045-9227. PMID 19193509. S2CID 17486263.
Sanchez-Lengeling, Benjamin; Reif, Emily; Pearce, Adam; Wiltschko, Alex (2 September 2021). "A Gentle Introduction to Graph Neural Networks". Distill. 6 (9) e33. doi:10.23915/distill.00033. ISSN 2476-0757.
Daigavane, Ameya; Ravindran, Balaraman; Aggarwal, Gaurav (2 September 2021). "Understanding Convolutions on Graphs". Distill. 6 (9) e32. doi:10.23915/distill.00032. ISSN 2476-0757. S2CID 239678898.
Stokes, Jonathan M.; Yang, Kevin; Swanson, Kyle; Jin, Wengong; Cubillos-Ruiz, Andres; Donghia, Nina M.; MacNair, Craig R.; French, Shawn; Carfrae, Lindsey A.; Bloom-Ackermann, Zohar; Tran, Victoria M.; Chiappino-Pepe, Anush; Badran, Ahmed H.; Andrews, Ian W.; Chory, Emma J. (20 February 2020). "A Deep Learning Approach to Antibiotic Discovery". Cell. 180 (4): 688–702.e13. Bibcode:2020Cell..180..688S. doi:10.1016/j.cell.2020.01.021. ISSN 1097-4172. PMC 8349178. PMID 32084340.
Marchant, Jo (20 February 2020). "Powerful antibiotics discovered using AI". Nature. doi:10.1038/d41586-020-00018-3. PMID 33603175.
Kipf, Thomas N; Welling, Max (2016). "The Graph Neural Network Model". IEEE Transactions on Neural Networks. 20 (1): 61–80. arXiv:1609.02907. Bibcode:2009ITNN...20...61S. doi:10.1109/TNN.2008.2005605. PMID 19068426. S2CID 206756462.
Wu, Lingfei; Chen, Yu; Shen, Kai; Guo, Xiaojie; Gao, Hanning; Li, Shucheng; Pei, Jian; Long, Bo (2023). "Graph Neural Networks for Natural Language Processing: A Survey". Foundations and Trends in Machine Learning. 16 (2): 119–328. arXiv:2106.06090. doi:10.1561/2200000096. ISSN 1941-0093. S2CID 206756462.
Ying, Rex; He, Ruining; Chen, Kaifeng; Eksombatchai, Pong; Hamilton, William L.; Leskovec, Jure (2018). Graph Convolutional Neural Networks for Web-Scale Recommender Systems. pp. 974–983. arXiv:1806.01973. doi:10.1145/3219819.3219890. ISBN 978-1-4503-5552-0. S2CID 46949657.
Zhang, Weihang; Cui, Yang; Liu, Bowen; Loza, Martin; Park, Sung-Joon; Nakai, Kenta (5 April 2024). "HyGAnno: Hybrid graph neural network-based cell type annotation for single-cell ATAC sequencing data". Briefings in Bioinformatics. 25 (3) bbae152. doi:10.1093/bib/bbae152. PMC 10998639. PMID 38581422.
Coley, Connor W.; Jin, Wengong; Rogers, Luke; Jamison, Timothy F.; Jaakkola, Tommi S.; Green, William H.; Barzilay, Regina; Jensen, Klavs F. (2 January 2019). "A graph-convolutional neural network model for the prediction of chemical reactivity". Chemical Science. 10 (2): 370–377. doi:10.1039/C8SC04228D. ISSN 2041-6539. PMC 6335848. PMID 30746086.
Qasim, Shah Rukh; Kieseler, Jan; Iiyama, Yutaro; Pierini, Maurizio Pierini (2019). "Learning representations of irregular particle-detector geometry with distance-weighted graph networks". The European Physical Journal C. 79 (7): 608. arXiv:1902.07987. Bibcode:2019EPJC...79..608Q. doi:10.1140/epjc/s10052-019-7113-9. S2CID 88518244.
Li, Zhuwen; Chen, Qifeng; Koltun, Vladlen (2018). "Text Simplification with Self-Attention-Based Pointer-Generator Networks". Neural Information Processing. Lecture Notes in Computer Science. Vol. 31. pp. 537–546. arXiv:1810.10659. doi:10.1007/978-3-030-04221-9_48. ISBN 978-3-030-04220-2.
Chen, Deli; Lin, Yankai; Li, Wei; Li, Peng; Zhou, Jie; Sun, Xu (2020). "Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View". Proceedings of the AAAI Conference on Artificial Intelligence. 34 (4): 3438–3445. arXiv:1909.03211. doi:10.1609/aaai.v34i04.5747. S2CID 202539008.
Luan, Sitao; Hua, Chenqing; Lu, Qincheng; Zhu, Jiaqi; Chang, Xiao-Wen; Precup, Doina (2024). "When do We Need Graph Neural Networks for Node Classification?". In Cherifi, Hocine; Rocha, Luis M.; Cherifi, Chantal; Donduran, Murat (eds.). Complex Networks & Their Applications XII. Studies in Computational Intelligence. Vol. 1141. Cham: Springer Nature Switzerland. pp. 37–48. doi:10.1007/978-3-031-53468-3_4. ISBN 978-3-031-53467-6.
Fan, Wenqi; Ma, Yao; Li, Qing; He, Yuan; Zhao, Eric; Tang, Jiliang; Yin, Dawei (2019). Graph Neural Networks for Social Recommendation. pp. 417–426. arXiv:1902.07243. doi:10.1145/3308558.3313488. hdl:10397/81232. ISBN 978-1-4503-6674-8. S2CID 67769538.
Mirhoseini, Azalia; Goldie, Anna; Yazgan, Mustafa; Jiang, Joe Wenjie; Songhori, Ebrahim; Wang, Shen; Lee, Young-Joon; Johnson, Eric; Pathak, Omkar; Nazi, Azade; Pak, Jiwoo; Tong, Andy; Srinivasa, Kavya; Hang, William; Tuncer, Emre; Le, Quoc V.; Laudon, James; Ho, Richard; Carpenter, Roger; Dean, Jeff (2021). "A graph placement methodology for fast chip design". Nature. 594 (7862): 207–212. Bibcode:2021Natur.594..207M. doi:10.1038/s41586-021-03544-w. PMID 34108699. S2CID 235395490.
Wang, Su; Wang, Zhiliang; Zhou, Tao; Sun, Hongbin; Yin, Xia; Han, Dongqi; Zhang, Han; Shi, Xingang; Yang, Jiahai (2022). "Threatrace: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning". IEEE Transactions on Information Forensics and Security. 17: 3972–3987. arXiv:2111.04333. Bibcode:2022ITIF...17.3972W. doi:10.1109/TIFS.2022.3208815. ISSN 1556-6021. S2CID 243847506.
Wang, Qi; Hassan, Wajih Ul; Li, Ding; Jee, Kangkook; Yu, Xiao (2020). "You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis". Network and Distributed Systems Security Symposium. doi:10.14722/ndss.2020.24167. ISBN 978-1-891562-61-7. S2CID 211267791.
King, Isaiah J.; Huang, H. Howie (2022). "Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction" (PDF). In Proceedings of the 29th Network and Distributed Systems Security Symposium. doi:10.14722/ndss.2022.24107. S2CID 248221601.
Zanfei, Ariele; et al. (2022). "Graph Convolutional Recurrent Neural Networks for Water Demand Forecasting". Water Resources Research. 58 (7) e2022WR032299. AGU. Bibcode:2022WRR....5832299Z. doi:10.1029/2022WR032299. Retrieved 11 June 2024.
Zanfei, Ariele; et al. (2023). "Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment". Water Research. 242 120264. Bibcode:2023WatRe.24220264Z. doi:10.1016/j.watres.2023.120264. PMID 37393807.
Zhou, Jie; Cui, Ganqu; Hu, Shengding; Zhang, Zhengyan; Yang, Cheng; Liu, Zhiyuan; Wang, Lifeng; Li, Changcheng; Sun, Maosong (1 January 2020). "Graph neural networks: A review of methods and applications". AI Open. 1: 57–81. doi:10.1016/j.aiopen.2021.01.001. ISSN 2666-6510.

github.com (Global: 383^rd place; English: 320^th place)

"Tensorflow GNN". GitHub. Retrieved 30 June 2022.
"jraph". GitHub. Retrieved 30 June 2022.
Lucibello, Carlo (2021). "GraphNeuralNetworks.jl". GitHub. Retrieved 21 September 2023.
FluxML/GeometricFlux.jl, FluxML, 31 January 2024, retrieved 3 February 2024

graph-neural-networks.github.io (Global: low place; English: low place)

Wu, Lingfei; Cui, Peng; Pei, Jian; Zhao, Liang (2022). "Graph Neural Networks: Foundations, Frontiers, and Applications". Springer Singapore: 725.

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Fan, Wenqi; Ma, Yao; Li, Qing; He, Yuan; Zhao, Eric; Tang, Jiliang; Yin, Dawei (2019). Graph Neural Networks for Social Recommendation. pp. 417–426. arXiv:1902.07243. doi:10.1145/3308558.3313488. hdl:10397/81232. ISBN 978-1-4503-6674-8. S2CID 67769538.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Scarselli, Franco; Gori, Marco; Tsoi, Ah Chung; Hagenbuchner, Markus; Monfardini, Gabriele (2009). "The Graph Neural Network Model". IEEE Transactions on Neural Networks. 20 (1): 61–80. Bibcode:2009ITNN...20...61S. doi:10.1109/TNN.2008.2005605. ISSN 1941-0093. PMID 19068426. S2CID 206756462.
Micheli, Alessio (2009). "Neural Network for Graphs: A Contextual Constructive Approach". IEEE Transactions on Neural Networks. 20 (3): 498–511. Bibcode:2009ITNN...20..498M. doi:10.1109/TNN.2008.2010350. ISSN 1045-9227. PMID 19193509. S2CID 17486263.
Stokes, Jonathan M.; Yang, Kevin; Swanson, Kyle; Jin, Wengong; Cubillos-Ruiz, Andres; Donghia, Nina M.; MacNair, Craig R.; French, Shawn; Carfrae, Lindsey A.; Bloom-Ackermann, Zohar; Tran, Victoria M.; Chiappino-Pepe, Anush; Badran, Ahmed H.; Andrews, Ian W.; Chory, Emma J. (20 February 2020). "A Deep Learning Approach to Antibiotic Discovery". Cell. 180 (4): 688–702.e13. Bibcode:2020Cell..180..688S. doi:10.1016/j.cell.2020.01.021. ISSN 1097-4172. PMC 8349178. PMID 32084340.
Kipf, Thomas N; Welling, Max (2016). "The Graph Neural Network Model". IEEE Transactions on Neural Networks. 20 (1): 61–80. arXiv:1609.02907. Bibcode:2009ITNN...20...61S. doi:10.1109/TNN.2008.2005605. PMID 19068426. S2CID 206756462.
Qasim, Shah Rukh; Kieseler, Jan; Iiyama, Yutaro; Pierini, Maurizio Pierini (2019). "Learning representations of irregular particle-detector geometry with distance-weighted graph networks". The European Physical Journal C. 79 (7): 608. arXiv:1902.07987. Bibcode:2019EPJC...79..608Q. doi:10.1140/epjc/s10052-019-7113-9. S2CID 88518244.
Mirhoseini, Azalia; Goldie, Anna; Yazgan, Mustafa; Jiang, Joe Wenjie; Songhori, Ebrahim; Wang, Shen; Lee, Young-Joon; Johnson, Eric; Pathak, Omkar; Nazi, Azade; Pak, Jiwoo; Tong, Andy; Srinivasa, Kavya; Hang, William; Tuncer, Emre; Le, Quoc V.; Laudon, James; Ho, Richard; Carpenter, Roger; Dean, Jeff (2021). "A graph placement methodology for fast chip design". Nature. 594 (7862): 207–212. Bibcode:2021Natur.594..207M. doi:10.1038/s41586-021-03544-w. PMID 34108699. S2CID 235395490.
Wang, Su; Wang, Zhiliang; Zhou, Tao; Sun, Hongbin; Yin, Xia; Han, Dongqi; Zhang, Han; Shi, Xingang; Yang, Jiahai (2022). "Threatrace: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning". IEEE Transactions on Information Forensics and Security. 17: 3972–3987. arXiv:2111.04333. Bibcode:2022ITIF...17.3972W. doi:10.1109/TIFS.2022.3208815. ISSN 1556-6021. S2CID 243847506.
Zanfei, Ariele; et al. (2022). "Graph Convolutional Recurrent Neural Networks for Water Demand Forecasting". Water Resources Research. 58 (7) e2022WR032299. AGU. Bibcode:2022WRR....5832299Z. doi:10.1029/2022WR032299. Retrieved 11 June 2024.
Zanfei, Ariele; et al. (2023). "Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment". Water Research. 242 120264. Bibcode:2023WatRe.24220264Z. doi:10.1016/j.watres.2023.120264. PMID 37393807.

ieee.org (Global: 652^nd place; English: 515^th place)

ieeexplore.ieee.org

Wang, Su; Wang, Zhiliang; Zhou, Tao; Sun, Hongbin; Yin, Xia; Han, Dongqi; Zhang, Han; Shi, Xingang; Yang, Jiahai (2022). "Threatrace: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning". IEEE Transactions on Information Forensics and Security. 17: 3972–3987. arXiv:2111.04333. Bibcode:2022ITIF...17.3972W. doi:10.1109/TIFS.2022.3208815. ISSN 1556-6021. S2CID 243847506.

leogrady.net (Global: low place; English: low place)

Grady, Leo; Polimeni, Jonathan (2011). Discrete Calculus: Applied Analysis on Graphs for Computational Science (PDF). Springer.

mlr.press (Global: low place; English: low place)

proceedings.mlr.press

Gilmer, Justin; Schoenholz, Samuel S.; Riley, Patrick F.; Vinyals, Oriol; Dahl, George E. (17 July 2017). "Neural Message Passing for Quantum Chemistry". Proceedings of Machine Learning Research: 1263–1272. arXiv:1704.01212.

nature.com (Global: 234^th place; English: 397^th place)

Marchant, Jo (20 February 2020). "Powerful antibiotics discovered using AI". Nature. doi:10.1038/d41586-020-00018-3. PMID 33603175.

ndss-symposium.org (Global: low place; English: low place)

King, Isaiah J.; Huang, H. Howie (2022). "Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction" (PDF). In Proceedings of the 29th Network and Distributed Systems Security Symposium. doi:10.14722/ndss.2022.24107. S2CID 248221601.

neurips.cc (Global: low place; English: low place)

proceedings.neurips.cc

Luan, Sitao; Hua, Chenqing; Lu, Qincheng; Zhu, Jiaqi; Zhao, Mingde; Zhang, Shuyuan; Chang, Xiao-Wen; Precup, Doina (6 December 2022). "Revisiting Heterophily For Graph Neural Networks". Advances in Neural Information Processing Systems. 35: 1362–1375. arXiv:2210.07606.
Luan, Sitao; Hua, Chenqing; Xu, Minkai; Lu, Qincheng; Zhu, Jiaqi; Chang, Xiao-Wen; Fu, Jie; Leskovec, Jure; Precup, Doina (15 December 2023). "When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability". Advances in Neural Information Processing Systems. 36: 28748–28760.

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

Scarselli, Franco; Gori, Marco; Tsoi, Ah Chung; Hagenbuchner, Markus; Monfardini, Gabriele (2009). "The Graph Neural Network Model". IEEE Transactions on Neural Networks. 20 (1): 61–80. Bibcode:2009ITNN...20...61S. doi:10.1109/TNN.2008.2005605. ISSN 1941-0093. PMID 19068426. S2CID 206756462.
Micheli, Alessio (2009). "Neural Network for Graphs: A Contextual Constructive Approach". IEEE Transactions on Neural Networks. 20 (3): 498–511. Bibcode:2009ITNN...20..498M. doi:10.1109/TNN.2008.2010350. ISSN 1045-9227. PMID 19193509. S2CID 17486263.
Stokes, Jonathan M.; Yang, Kevin; Swanson, Kyle; Jin, Wengong; Cubillos-Ruiz, Andres; Donghia, Nina M.; MacNair, Craig R.; French, Shawn; Carfrae, Lindsey A.; Bloom-Ackermann, Zohar; Tran, Victoria M.; Chiappino-Pepe, Anush; Badran, Ahmed H.; Andrews, Ian W.; Chory, Emma J. (20 February 2020). "A Deep Learning Approach to Antibiotic Discovery". Cell. 180 (4): 688–702.e13. Bibcode:2020Cell..180..688S. doi:10.1016/j.cell.2020.01.021. ISSN 1097-4172. PMC 8349178. PMID 32084340.
Marchant, Jo (20 February 2020). "Powerful antibiotics discovered using AI". Nature. doi:10.1038/d41586-020-00018-3. PMID 33603175.
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ncbi.nlm.nih.gov

Stokes, Jonathan M.; Yang, Kevin; Swanson, Kyle; Jin, Wengong; Cubillos-Ruiz, Andres; Donghia, Nina M.; MacNair, Craig R.; French, Shawn; Carfrae, Lindsey A.; Bloom-Ackermann, Zohar; Tran, Victoria M.; Chiappino-Pepe, Anush; Badran, Ahmed H.; Andrews, Ian W.; Chory, Emma J. (20 February 2020). "A Deep Learning Approach to Antibiotic Discovery". Cell. 180 (4): 688–702.e13. Bibcode:2020Cell..180..688S. doi:10.1016/j.cell.2020.01.021. ISSN 1097-4172. PMC 8349178. PMID 32084340.
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nowpublishers.com (Global: low place; English: low place)

Wu, Lingfei; Chen, Yu; Shen, Kai; Guo, Xiaojie; Gao, Hanning; Li, Shucheng; Pei, Jian; Long, Bo (2023). "Graph Neural Networks for Natural Language Processing: A Survey". Foundations and Trends in Machine Learning. 16 (2): 119–328. arXiv:2106.06090. doi:10.1561/2200000096. ISSN 1941-0093. S2CID 206756462.

oup.com (Global: 485^th place; English: 440^th place)

academic.oup.com

Zhang, Weihang; Cui, Yang; Liu, Bowen; Loza, Martin; Park, Sung-Joon; Nakai, Kenta (5 April 2024). "HyGAnno: Hybrid graph neural network-based cell type annotation for single-cell ATAC sequencing data". Briefings in Bioinformatics. 25 (3) bbae152. doi:10.1093/bib/bbae152. PMC 10998639. PMID 38581422.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

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springer.com (Global: 274^th place; English: 309^th place)

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stanford.edu (Global: 179^th place; English: 183^rd place)

cs.stanford.edu

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technologyreview.com (Global: 1,943^rd place; English: 1,253^rd place)

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theguardian.com (Global: 12^th place; English: 11^th place)

Sample, Ian (2 December 2018). "Google's DeepMind predicts 3D shapes of proteins". The Guardian. Retrieved 30 November 2020.

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agupubs.onlinelibrary.wiley.com

Zanfei, Ariele; et al. (2022). "Graph Convolutional Recurrent Neural Networks for Water Demand Forecasting". Water Resources Research. 58 (7) e2022WR032299. AGU. Bibcode:2022WRR....5832299Z. doi:10.1029/2022WR032299. Retrieved 11 June 2024.

worldcat.org (Global: 5^th place; English: 5^th place)

search.worldcat.org

Scarselli, Franco; Gori, Marco; Tsoi, Ah Chung; Hagenbuchner, Markus; Monfardini, Gabriele (2009). "The Graph Neural Network Model". IEEE Transactions on Neural Networks. 20 (1): 61–80. Bibcode:2009ITNN...20...61S. doi:10.1109/TNN.2008.2005605. ISSN 1941-0093. PMID 19068426. S2CID 206756462.
Micheli, Alessio (2009). "Neural Network for Graphs: A Contextual Constructive Approach". IEEE Transactions on Neural Networks. 20 (3): 498–511. Bibcode:2009ITNN...20..498M. doi:10.1109/TNN.2008.2010350. ISSN 1045-9227. PMID 19193509. S2CID 17486263.
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Daigavane, Ameya; Ravindran, Balaraman; Aggarwal, Gaurav (2 September 2021). "Understanding Convolutions on Graphs". Distill. 6 (9) e32. doi:10.23915/distill.00032. ISSN 2476-0757. S2CID 239678898.
Stokes, Jonathan M.; Yang, Kevin; Swanson, Kyle; Jin, Wengong; Cubillos-Ruiz, Andres; Donghia, Nina M.; MacNair, Craig R.; French, Shawn; Carfrae, Lindsey A.; Bloom-Ackermann, Zohar; Tran, Victoria M.; Chiappino-Pepe, Anush; Badran, Ahmed H.; Andrews, Ian W.; Chory, Emma J. (20 February 2020). "A Deep Learning Approach to Antibiotic Discovery". Cell. 180 (4): 688–702.e13. Bibcode:2020Cell..180..688S. doi:10.1016/j.cell.2020.01.021. ISSN 1097-4172. PMC 8349178. PMID 32084340.
Wu, Lingfei; Chen, Yu; Shen, Kai; Guo, Xiaojie; Gao, Hanning; Li, Shucheng; Pei, Jian; Long, Bo (2023). "Graph Neural Networks for Natural Language Processing: A Survey". Foundations and Trends in Machine Learning. 16 (2): 119–328. arXiv:2106.06090. doi:10.1561/2200000096. ISSN 1941-0093. S2CID 206756462.
Coley, Connor W.; Jin, Wengong; Rogers, Luke; Jamison, Timothy F.; Jaakkola, Tommi S.; Green, William H.; Barzilay, Regina; Jensen, Klavs F. (2 January 2019). "A graph-convolutional neural network model for the prediction of chemical reactivity". Chemical Science. 10 (2): 370–377. doi:10.1039/C8SC04228D. ISSN 2041-6539. PMC 6335848. PMID 30746086.
Wang, Su; Wang, Zhiliang; Zhou, Tao; Sun, Hongbin; Yin, Xia; Han, Dongqi; Zhang, Han; Shi, Xingang; Yang, Jiahai (2022). "Threatrace: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning". IEEE Transactions on Information Forensics and Security. 17: 3972–3987. arXiv:2111.04333. Bibcode:2022ITIF...17.3972W. doi:10.1109/TIFS.2022.3208815. ISSN 1556-6021. S2CID 243847506.
Zhou, Jie; Cui, Ganqu; Hu, Shengding; Zhang, Zhengyan; Yang, Cheng; Liu, Zhiyuan; Wang, Lifeng; Li, Changcheng; Sun, Maosong (1 January 2020). "Graph neural networks: A review of methods and applications". AI Open. 1: 57–81. doi:10.1016/j.aiopen.2021.01.001. ISSN 2666-6510.

Graph neural network (English Wikipedia)

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