Stephan Günnemann

Citado por

	Total	Desde 2018
Citas	10964	9481
Índice h	46	41
Índice i10	121	101

3300

1650

825

2475

2010201120122013201420152016201720182019202020212022202359 75 142 169 175 230 271 290 385 643 1264 2193 3269 1700

Acceso público

Ver todo

53 artículos

9 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Thomas SeidlProfessor of Computer Science, Ludwig-Maximilians-Universität München (LMU Munich), MCML, GermanyDirección de correo verificada de dbs.ifi.lmu.de
Aleksandar BojchevskiUniversity of CologneDirección de correo verificada de uni-koeln.de
Johannes Gasteiger, né KlicperaGoogle ResearchDirección de correo verificada de google.com
Daniel ZügnerMicrosoft ResearchDirección de correo verificada de microsoft.com
Emmanuel MüllerProfessor of Computer Science, Technical University of DortmundDirección de correo verificada de cs.tu-dortmund.de
Oleksandr ShchurApplied Scientist, AWS AIDirección de correo verificada de amazon.com
Ines FärberData Management and Data ExplorationDirección de correo verificada de cs.rwth-aachen.de
Christos FaloutsosCMUDirección de correo verificada de cs.cmu.edu
Ira AssentProfessor of Computer Science, Aarhus University, Denmark; IAS-8, Forschungszentrum JülichDirección de correo verificada de cs.au.dk
Hardy KremerDeloitte Analytics Institute, GermanyDirección de correo verificada de deloitte.de
Bertrand CharpentierTechnical University of MunichDirección de correo verificada de in.tum.de
Thomas NeumannProfessor, Technische Universität MünchenDirección de correo verificada de in.tum.de
Simon GeislerTechnical University of MunichDirección de correo verificada de in.tum.de
Marin BilošPhD student, Technical University of MunichDirección de correo verificada de in.tum.de
Armin MoinUniversity of California, Santa Barbara (UCSB)Dirección de correo verificada de ucsb.edu
Danai KoutraUniversity of Michigan, Ann ArborDirección de correo verificada de umich.edu
Neil ShahResearch Scientist at SnapDirección de correo verificada de snap.com
Volker TrespLudwig Maximilian University of Munich / München (LMU)Dirección de correo verificada de dbs.ifi.lmu.de
Mohit KumarUdaan, Flipkart, Accenture Technology Labs, Carnegie Mellon UniversityDirección de correo verificada de udaan.com
Stephan RabanserUniversity of Toronto & Vector Institute for Artificial IntelligenceDirección de correo verificada de cs.toronto.edu

Seguir

Stephan Günnemann

Professor of Computer Science, Technical University of Munich

Dirección de correo verificada de in.tum.de - Página principal

Machine Learning Graphs Graph Neural Networks Robustness


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Predict then propagate: Graph neural networks meet personalized pagerank J Klicpera, A Bojchevski, S Günnemann International Conference on Learning Representations, 2019, 2019	1184*	2019
Pitfalls of graph neural network evaluation O Shchur, M Mumme, A Bojchevski, S Günnemann Relational Representation Learning Workshop, NIPS 2018, 2018	754	2018
Adversarial attacks on neural networks for graph data D Zügner, A Akbarnejad, S Günnemann Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	745	2018
Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking A Bojchevski, S Günnemann International Conference on Learning Representations (ICLR), 2018	501	2018
Directional message passing for molecular graphs J Klicpera, J Groß, S Günnemann International Conference on Learning Representations (ICLR), 2020	485*	2020
Diffusion improves graph learning J Klicpera, S Weißenberger, S Günnemann Neural Information Processing Systems (NeurIPS), 2019	418*	2019
Adversarial attacks on graph neural networks via meta learning D Zügner, S Günnemann International Conference on Learning Representations (ICLR), 2019	415*	2019
Evaluating clustering in subspace projections of high dimensional data E Müller, S Günnemann, I Assent, T Seidl Proceedings of the VLDB Endowment 2 (1), 1270-1281, 2009	355	2009
Netgan: Generating graphs via random walks A Bojchevski, O Shchur, D Zügner, S Günnemann ICML 2018, 2018	348	2018
Adversarial attacks on node embeddings via graph poisoning A Bojchevski, S Günnemann International Conference on Machine Learning, 695-704, 2019	251	2019
Failing loudly: An empirical study of methods for detecting dataset shift S Rabanser, S Günnemann, ZC Lipton Neural Information Processing Systems (NeurIPS), 2018	239	2018
Introduction to tensor decompositions and their applications in machine learning S Rabanser, O Shchur, S Günnemann arXiv preprint arXiv:1711.10781, 2017	217	2017
Gemnet: Universal directional graph neural networks for molecules J Gasteiger, F Becker, S Günnemann Advances in Neural Information Processing Systems 34, 6790-6802, 2021	173*	2021
Scaling graph neural networks with approximate pagerank A Bojchevski, J Gasteiger, B Perozzi, A Kapoor, M Blais, B Rózemberczki, ... Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	170	2020
On using class-labels in evaluation of clusterings I Färber, S Günnemann, HP Kriegel, P Kröger, E Müller, E Schubert, ... MultiClust: 1st international workshop on discovering, summarizing and using …, 2010	161	2010
Fast and uncertainty-aware directional message passing for non-equilibrium molecules J Gasteiger, S Giri, JT Margraf, S Günnemann arXiv preprint arXiv:2011.14115, 2020	160	2020
Mining coherent subgraphs in multi-layer graphs with edge labels B Boden, S Günnemann, H Hoffmann, T Seidl Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	150	2012
Subspace clustering meets dense subgraph mining: A synthesis of two paradigms S Günnemann, I Färber, B Boden, T Seidl 2010 IEEE international conference on data mining, 845-850, 2010	145	2010
Birdnest: Bayesian inference for ratings-fraud detection B Hooi, N Shah, A Beutel, S Günnemann, L Akoglu, M Kumar, D Makhija, ... Proceedings of the 2016 SIAM International Conference on Data Mining, 495-503, 2016	135	2016
Com2: fast automatic discovery of temporal (‘comet’) communities M Araujo, S Papadimitriou, S Günnemann, C Faloutsos, P Basu, A Swami, ... Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014	127	2014

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores