Everything is Connected: Graph Neural Networks

19 January 2023

Papers citing "Everything is Connected: Graph Neural Networks"

42 / 42 papers shown

Title
Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination Md Abrar Jahin Md. Akmol Masud M. F. Mridha Nilanjan Dey Zeyar Aung 157 0 0 03 Nov 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics Md Abrar Jahin Md. Akmol Masud Md Wahiduzzaman Suva M. F. Mridha Nilanjan Dey 112 2 0 03 Nov 2024
Diss-l-ECT: Dissecting Graph Data with Local Euler Characteristic Transforms Julius von Rohrscheidt Bastian Rieck 79 1 0 03 Oct 2024
Asynchronous Graph Generator Christopher P. Ley Felipe Tobar AI4TS 98 0 0 29 Sep 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 102 5 0 27 Sep 2023
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 131 56 0 06 Oct 2022
Message passing all the way up Petar Velickovic 151 66 0 22 Feb 2022
EquiBind: Geometric Deep Learning for Drug Binding Structure Prediction Hannes Stärk O. Ganea L. Pattanaik Regina Barzilay Tommi Jaakkola 90 269 0 07 Feb 2022
ETA Prediction with Graph Neural Networks in Google Maps Austin Derrow-Pinion Jennifer She David Wong O. Lange Todd Hester ... Ang Li Zhongwen Xu Alvaro Sanchez-Gonzalez Yujia Li Petar Velivcković AI4TS 68 230 0 25 Aug 2021
How Attentive are Graph Attention Networks? Shaked Brody Uri Alon Eran Yahav GNN 119 1,084 0 30 May 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 358 1,160 0 27 Apr 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 113 1,033 0 19 Feb 2021
SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks Bahare Fatemi Layla El Asri Seyed Mehran Kazemi GNN SSL 103 165 0 09 Feb 2021
The Hardware Lottery Sara Hooker 75 212 0 14 Sep 2020
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 153 696 0 18 Jun 2020
Learning Graph Models for Retrosynthesis Prediction Vignesh Ram Somnath Charlotte Bunne Connor W. Coley Andreas Krause Regina Barzilay 68 92 0 12 Jun 2020
Pointer Graph Networks Petar Velivcković Lars Buesing Matthew Overlan Razvan Pascanu Oriol Vinyals Charles Blundell GNN 103 62 0 11 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 91 694 0 09 Jun 2020
Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19 D. Gysi Ì. Valle Marinka Zitnik Asher Ameli Xiao Gan ... D. Ghiassian R. Baron Helia Sanchez J. Loscalzo Albert-László Barabási 54 440 0 15 Apr 2020
Differentiable Graph Module (DGM) for Graph Convolutional Networks Anees Kazi Luca Cosmo Seyed-Ahmad Ahmadi Nassir Navab M. Bronstein GNN MedIm 68 130 0 11 Feb 2020
What graph neural networks cannot learn: depth vs width Andreas Loukas GNN 84 301 0 06 Jul 2019
Drug-Drug Adverse Effect Prediction with Graph Co-Attention Andreea Deac Yu-Hsiang Huang Petar Velickovic Pietro Lio Jian Tang 76 80 0 02 May 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,179 0 19 Feb 2019
On the Limitations of Representing Functions on Sets E. Wagstaff F. Fuchs Martin Engelcke Ingmar Posner Michael A. Osborne 125 166 0 25 Jan 2019
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 194 1,643 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 245 7,681 0 01 Oct 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 266 3,549 0 06 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 764 3,129 0 04 Jun 2018
Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds Nathaniel Thomas Tess E. Smidt S. Kearnes Lusann Yang Li Li Kai Kohlhoff Patrick F. Riley 3DPC 95 977 0 22 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks Marinka Zitnik Monica Agrawal J. Leskovec GNN 116 1,086 0 02 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,168 0 24 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,225 0 30 Oct 2017
Predicting multicellular function through multi-layer tissue networks Marinka Zitnik J. Leskovec 95 541 0 14 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 728 132,199 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,300 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 596 7,485 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 415 2,473 0 10 Mar 2017
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 543 1,412 0 01 Dec 2016
Geometric deep learning on graphs and manifolds using mixture model CNNs Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda M. Bronstein GNN 415 1,824 0 25 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 652 29,154 0 09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 356 7,669 0 30 Jun 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints David Duvenaud D. Maclaurin J. Aguilera-Iparraguirre Rafael Gómez-Bombarelli Timothy D. Hirzel Alán Aspuru-Guzik Ryan P. Adams GNN 223 3,353 0 30 Sep 2015