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

27arxiv.org

69^th place

59^th place

17doi.org

2^nd place

13semanticscholar.org

11^th place

8^th place

8nih.gov

4^th place

7worldcat.org

5^th place

4ieee.org

652^nd place

515^th place

4github.com

383^rd place

320^th place

2distill.pub

low place

2harvard.edu

18^th place

17^th place

2stanford.edu

179^th place

183^rd place

1graph-neural-networks.github.io

low 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

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

1ndss-symposium.org

low place

1wiley.com

222^nd place

297^th place

1sciencedirect.com

149^th place

178^th place

arxiv.org

Bronstein, Michael M.; Bruna, Joan; Cohen, Taco; Veličković, Petar (May 4, 2021). "Geometric Deep Learning: Grids, Groups, Graphs Geodesics and Gauges". arXiv:2104.13478 [cs.LG].
Kipf, Thomas N; Welling, Max (2016). "Semi-supervised classification with graph convolutional networks". IEEE Transactions on Neural Networks. 5 (1): 61–80. arXiv:1609.02907. 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 (2018-02-04). "Graph Attention Networks". arXiv:1710.10903 [stat.ML].
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.
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. PMID 19068426. 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 9781450355520. S2CID 46949657.
Gilmer, Justin; Schoenholz, Samuel S.; Riley, Patrick F.; Vinyals, Oriol; Dahl, George E. (2017-07-17). "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). "Combinatorial optimization with graph convolutional networks and guided tree search". Neural Information Processing Systems. 31: 537–546. arXiv:1810.10659. doi:10.1007/978-3-030-04221-9_48.
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. (2011-01-27). "The Weisfeiler–Lehman Method and Graph Isomorphism Testing". arXiv:1101.5211 [math.CO].
Xu, Keyulu; Hu, Weihua; Leskovec, Jure; Jegelka, Stefanie (2019-02-22). "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].
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 9781450366748. 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. doi:10.1109/TIFS.2022.3208815. ISSN 1556-6021. S2CID 243847506.

dgl.ai

"Deep Graph Library (DGL)". Retrieved 2024-09-12.

distill.pub

Sanchez-Lengeling, Benjamin; Reif, Emily; Pearce, Adam; Wiltschko, Alex (2021-09-02). "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 (2021-09-02). "Understanding Convolutions on Graphs". Distill. 6 (9): e32. doi:10.23915/distill.00032. ISSN 2476-0757. S2CID 239678898.

doi.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. 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. doi:10.1109/TNN.2008.2010350. ISSN 1045-9227. PMID 19193509. S2CID 17486263.
Sanchez-Lengeling, Benjamin; Reif, Emily; Pearce, Adam; Wiltschko, Alex (2021-09-02). "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 (2021-09-02). "Understanding Convolutions on Graphs". Distill. 6 (9): e32. doi:10.23915/distill.00032. ISSN 2476-0757. S2CID 239678898.
Kipf, Thomas N; Welling, Max (2016). "Semi-supervised classification with graph convolutional networks". IEEE Transactions on Neural Networks. 5 (1): 61–80. arXiv:1609.02907. 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. PMID 19068426. 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 9781450355520. 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). doi:10.1093/bib/bbae152. PMC 10998639.
Coley, Connor W.; Jin, Wengong; Rogers, Luke; Jamison, Timothy F.; Jaakkola, Tommi S.; Green, William H.; Barzilay, Regina; Jensen, Klavs F. (2019-01-02). "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). "Combinatorial optimization with graph convolutional networks and guided tree search". Neural Information Processing Systems. 31: 537–546. arXiv:1810.10659. doi:10.1007/978-3-030-04221-9_48.
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.
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 9781450366748. 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. 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 (NDSS) 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 (NDSS). doi:10.14722/ndss.2022.24107. S2CID 248221601.

github.com

"Tensorflow GNN". GitHub. Retrieved 30 June 2022.
"jraph". GitHub. Retrieved 30 June 2022.
Lucibello, Carlo (2021). "GraphNeuralNetworks.jl". GitHub. Retrieved 2023-09-21.
FluxML/GeometricFlux.jl, FluxML, 2024-01-31, retrieved 2024-02-03

graph-neural-networks.github.io

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

handle.net

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 9781450366748. S2CID 67769538.

harvard.edu

ui.adsabs.harvard.edu

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.

ieee.org

ieeexplore.ieee.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. 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. doi:10.1109/TNN.2008.2010350. ISSN 1045-9227. PMID 19193509. S2CID 17486263.
Kipf, Thomas N; Welling, Max (2016). "Semi-supervised classification with graph convolutional networks". IEEE Transactions on Neural Networks. 5 (1): 61–80. arXiv:1609.02907. doi:10.1109/TNN.2008.2005605. PMID 19068426. S2CID 206756462.
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. doi:10.1109/TIFS.2022.3208815. ISSN 1556-6021. S2CID 243847506.

leogrady.net

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

mlr.press

proceedings.mlr.press

Gilmer, Justin; Schoenholz, Samuel S.; Riley, Patrick F.; Vinyals, Oriol; Dahl, George E. (2017-07-17). "Neural Message Passing for Quantum Chemistry". Proceedings of Machine Learning Research: 1263–1272. arXiv:1704.01212.

ndss-symposium.org

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 (NDSS). doi:10.14722/ndss.2022.24107. S2CID 248221601.

nih.gov

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. 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. doi:10.1109/TNN.2008.2010350. ISSN 1045-9227. PMID 19193509. S2CID 17486263.
Kipf, Thomas N; Welling, Max (2016). "Semi-supervised classification with graph convolutional networks". IEEE Transactions on Neural Networks. 5 (1): 61–80. arXiv:1609.02907. 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. PMID 19068426. S2CID 206756462.
Coley, Connor W.; Jin, Wengong; Rogers, Luke; Jamison, Timothy F.; Jaakkola, Tommi S.; Green, William H.; Barzilay, Regina; Jensen, Klavs F. (2019-01-02). "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.
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.

ncbi.nlm.nih.gov

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). doi:10.1093/bib/bbae152. PMC 10998639.
Coley, Connor W.; Jin, Wengong; Rogers, Luke; Jamison, Timothy F.; Jaakkola, Tommi S.; Green, William H.; Barzilay, Regina; Jensen, Klavs F. (2019-01-02). "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.

nowpublishers.com

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. PMID 19068426. S2CID 206756462.

oup.com

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). doi:10.1093/bib/bbae152. PMC 10998639.

sciencedirect.com

Zanfei, Ariele; et al. (2023). "Shall we always use hydraulic models? A graph neural network metamodel for water system calibration and uncertainty assessment". Retrieved June 11, 2024.

semanticscholar.org

api.semanticscholar.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. 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. doi:10.1109/TNN.2008.2010350. ISSN 1045-9227. PMID 19193509. S2CID 17486263.
Daigavane, Ameya; Ravindran, Balaraman; Aggarwal, Gaurav (2021-09-02). "Understanding Convolutions on Graphs". Distill. 6 (9): e32. doi:10.23915/distill.00032. ISSN 2476-0757. S2CID 239678898.
Kipf, Thomas N; Welling, Max (2016). "Semi-supervised classification with graph convolutional networks". IEEE Transactions on Neural Networks. 5 (1): 61–80. arXiv:1609.02907. 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. PMID 19068426. 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 9781450355520. S2CID 46949657.
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.
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.
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 9781450366748. 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. 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 (NDSS) 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 (NDSS). doi:10.14722/ndss.2022.24107. S2CID 248221601.

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