Motif Prediction with Graph Neural Networks

Author:

Besta Maciej1,Grob Raphael1,Miglioli Cesare2,Bernold Nicola1,Kwasniewski Grzegorz1,Gjini Gabriel1,Kanakagiri Raghavendra3,Ashkboos Saleh4,Gianinazzi Lukas1,Dryden Nikoli1,Hoefler Torsten1

Affiliation:

1. ETH Zürich, Zurich, Switzerland

2. University of Geneva, Geneva, Switzerland

3. University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA

4. ETH Zurich, Zurich, Switzerland

Publisher

ACM

Reference66 articles.

1. G. Abuoda Link prediction via higher-order motif features . In ECML PKDD , 2019 . G. Abuoda et al. Link prediction via higher-order motif features. In ECML PKDD, 2019.

2. L. A. Adamic and E. Adar . Friends and neighbors on the web. Social networks , 2003 . L. A. Adamic and E. Adar. Friends and neighbors on the web. Social networks, 2003.

3. M. Al Hasan et al. Link prediction using supervised learning . In SDM06: workshop on link analysis, counter-terrorism and security , 2006 . M. Al Hasan et al. Link prediction using supervised learning. In SDM06: workshop on link analysis, counter-terrorism and security, 2006.

4. A Survey of Link Prediction in Social Networks

5. V. Batagelj and A. Mrvar . Pajek datasets , 2006 . http://vlado.fmf.uni-lj.si/pub/networks/data/. V. Batagelj and A. Mrvar. Pajek datasets, 2006. http://vlado.fmf.uni-lj.si/pub/networks/data/.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. De novo design and optimization of aptamers with AptaDiff;2023-11-26

2. High-Performance and Programmable Attentional Graph Neural Networks with Global Tensor Formulations;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2023-11-11

3. Higher-Order Functional Structure Exploration in Heterogeneous Combat Network Based on Operational Motif Spectral Clustering;IEEE Systems Journal;2023-09

4. MEGA: Explaining Graph Neural Networks with Network Motifs;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

5. ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations;SC22: International Conference for High Performance Computing, Networking, Storage and Analysis;2022-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3