Papers citing 'Deriving Neural Architectures from Sequence and Graph Kernels'

Title
Graph Lineages and Skeletal Graph Products Eric Mjolsness Cory Braker Scott AI4CE 127 0 0 31 Jul 2025
Beyond 5G Network Failure Classification for Network Digital Twin Using Graph Neural Network Abubakar Isah I. Aliyu Jaechan Shim Hoyong Ryu Jinsul Kim 122 1 0 06 Jun 2024
Towards Subgraph Isomorphism Counting with Graph Kernels Xin Liu Weiqi Wang Jiaxin Bai Yangqiu Song 146 1 0 13 May 2024
Self-supervision meets kernel graph neural models: From architecture to augmentations Jiawang Dan Ruofan Wu Yunpeng Liu Baokun Wang Changhua Meng ... Tianyi Zhang Ningtao Wang Xin Fu Qi Li Weiqiang Wang SSL 170 1 0 17 Oct 2023
Nearly Optimal Steiner Trees using Graph Neural Network Assisted Monte Carlo Tree Search Abu Reyan Ahmed Mithun Ghosh Kwang-Sung Jun Stephen Kobourov 111 0 0 30 Apr 2023
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic Jayeeta Mondal Jeet Dutta H. Barua OffRL 118 1 0 01 Aug 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Hongzhi Zhang Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 174 0 0 31 May 2022
Weisfeiler and Leman Go Walking: Random Walk Kernels RevisitedNeural Information Processing Systems (NeurIPS), 2022 Nils M. Kriege 202 21 0 22 May 2022
Multi-Scale Representation Learning on ProteinsNeural Information Processing Systems (NeurIPS), 2022 Vignesh Ram Somnath Charlotte Bunne Andreas Krause 178 110 0 04 Apr 2022
Ensemble Spectral Prediction (ESP) Model for Metabolite Annotation Xinmeng Li Hao Zhu Liping Liu S. Hassoun 113 13 0 25 Mar 2022
KerGNNs: Interpretable Graph Neural Networks with Graph KernelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Aosong Feng Chenyu You Maroun Touma Leandros Tassiulas GNN 197 98 0 03 Jan 2022
Graph Kernel Neural NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Luca Cosmo G. Minello Alessandro Bicciato M. Bronstein Emanuele Rodolà Luca Rossi A. Torsello GNN 172 25 0 14 Dec 2021
Computing Steiner Trees using Graph Neural Networks Abu Reyan Ahmed Md Asadullah Turja F. Sahneh Mithun Ghosh Keaton Hamm Stephen Kobourov 3DPC GNN 90 7 0 18 Aug 2021
Geometric Deep Learning on Molecular RepresentationsNature Machine Intelligence (Nat. Mach. Intell.), 2021 Kenneth Atz F. Grisoni G. Schneider AI4CE 464 351 0 26 Jul 2021
Hashing-Accelerated Graph Neural Networks for Link PredictionThe Web Conference (WWW), 2021 Wei Wu Bin Li Chuan Luo Wolfgang Nejdl GNN 132 48 0 29 May 2021
Theoretically Improving Graph Neural Networks via Anonymous Walk Graph KernelsThe Web Conference (WWW), 2021 Qingqing Long Yilun Jin Yi Wu Guojie Song 265 41 0 07 Apr 2021
A Deep Graph Neural Networks Architecture Design: From Global Pyramid-like Shrinkage Skeleton to Local Topology Link Rewiring Gege Zhang 79 0 0 16 Dec 2020
Graph Cross Networks with Vertex Infomax PoolingNeural Information Processing Systems (NeurIPS), 2020 Maosen Li Siheng Chen Ya Zhang Ivor W. Tsang 225 68 0 05 Oct 2020
Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks Katsuhiko Ishiguro Kenta Oono K. Hayashi GNN 120 4 0 12 Jun 2020
Learning Deep Graph Representations via Convolutional Neural NetworksIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Wei Ye Omid Askarisichani Alex T. Jones Ambuj K. Singh SSL GNN 148 13 0 05 Apr 2020
Convolutional Kernel Networks for Graph-Structured DataInternational Conference on Machine Learning (ICML), 2020 Dexiong Chen Laurent Jacob Julien Mairal GNN 275 64 0 11 Mar 2020
Generalization and Representational Limits of Graph Neural NetworksInternational Conference on Machine Learning (ICML), 2020 Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 260 343 0 14 Feb 2020
Hierarchical Generation of Molecular Graphs using Structural MotifsInternational Conference on Machine Learning (ICML), 2020 Wengong Jin Regina Barzilay Tommi Jaakkola 328 331 0 08 Feb 2020
Retrosynthesis Prediction with Conditional Graph Logic NetworkNeural Information Processing Systems (NeurIPS), 2020 H. Dai Chengtao Li Connor W. Coley Bo Dai Le Song 237 216 0 06 Jan 2020
Coloring graph neural networks for node disambiguationInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 George Dasoulas Ludovic Dos Santos Kevin Scaman Aladin Virmaux 169 86 0 12 Dec 2019
Graph Transformer NetworksNeural Information Processing Systems (NeurIPS), 2019 Seongjun Yun Minbyul Jeong Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 486 1,185 0 06 Nov 2019
Learning Transferable Graph ExplorationNeural Information Processing Systems (NeurIPS), 2019 H. Dai Yujia Li Chenglong Wang Rishabh Singh Po-Sen Huang Pushmeet Kohli 134 22 0 28 Oct 2019
The Expressivity and Training of Deep Neural Networks: toward the Edge of Chaos? Gege Zhang Gang-cheng Li Ningwei Shen Weidong Zhang 147 7 0 11 Oct 2019
Kernel-Based Approaches for Sequence Modeling: Connections to Neural MethodsNeural Information Processing Systems (NeurIPS), 2019 Kevin J. Liang Guoyin Wang Yitong Li Ricardo Henao Lawrence Carin 159 2 0 09 Oct 2019
Learning Universal Graph Neural Network Embeddings With Aid Of Transfer Learning Saurabh Verma Zhi-Li Zhang FedML GNN SSL 234 10 0 22 Sep 2019
Site-specific graph neural network for predicting protonation energy of oxygenate molecules R. Maulik Rajeev Surendran Array Dali Wang 82 2 0 18 Sep 2019
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable RecommendationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019 Ksenia Korovina Sailun Xu Kirthevasan Kandasamy Willie Neiswanger Barnabás Póczós J. Schneider Eric Xing 336 137 0 05 Aug 2019
k-hop Graph Neural NetworksNeural Networks (NN), 2019 Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis 189 123 0 13 Jul 2019
Hierarchical Graph-to-Graph Translation for Molecules Wengong Jin Regina Barzilay Tommi Jaakkola 144 16 0 11 Jun 2019
Recurrent Kernel NetworksNeural Information Processing Systems (NeurIPS), 2019 Dexiong Chen Laurent Jacob Julien Mairal 258 13 0 07 Jun 2019
Learning Representations of Graph Data -- A Survey Mital Kinderkhedia GNN 152 13 0 07 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph ClassificationKnowledge Discovery and Data Mining (KDD), 2019 Jun Wu Jingrui He Jiejun Xu GNN 295 224 0 05 Jun 2019
A Lightweight Recurrent Network for Sequence ModelingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019 Biao Zhang Rico Sennrich 134 8 0 30 May 2019
Provably Powerful Graph NetworksNeural Information Processing Systems (NeurIPS), 2019 Haggai Maron Heli Ben-Hamu Hadar Serviansky Y. Lipman 408 634 0 27 May 2019
Mutual Information Maximization in Graph Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2019 Xinhan Di Pengqian Yu Rui Bu Mingchao Sun 237 24 0 21 May 2019
Stability and Generalization of Graph Convolutional Neural NetworksKnowledge Discovery and Data Mining (KDD), 2019 Saurabh Verma Zhi-Li Zhang GNN MLT 283 175 0 03 May 2019
3DFaceGAN: Adversarial Nets for 3D Face Representation, Generation, and TranslationInternational Journal of Computer Vision (IJCV), 2019 Stylianos Moschoglou Stylianos Ploumpis M. Nicolaou A. Papaioannou Stefanos Zafeiriou CVBM 3DH 128 55 0 01 May 2019
Graph Kernels: A SurveyJournal of Artificial Intelligence Research (JAIR), 2019 Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 290 144 0 27 Apr 2019
edGNN: a Simple and Powerful GNN for Directed Labeled Graphs Guillaume Jaume An-phi Nguyen María Rodríguez Martínez Jean-Philippe Thiran M. Gabrani 149 23 0 18 Apr 2019
A Statistical Investigation of Long Memory in Language and Music Alexander Greaves-Tunnell Zaïd Harchaoui AI4TS 211 24 0 08 Apr 2019
Analyzing Learned Molecular Representations for Property Prediction Kevin Kaichuang Yang Kyle Swanson Wengong Jin Connor W. Coley Philipp Eiden ... Andrew Palmer Volker Settels Tommi Jaakkola K. Jensen Regina Barzilay 336 1,502 0 02 Apr 2019
GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional NetworksInternational Joint Conference on Artificial Intelligence (IJCAI), 2019 Ziyao Li Liang Zhang Guojie Song 116 19 0 26 Feb 2019
Functional Transparency for Structured Data: a Game-Theoretic ApproachInternational Conference on Machine Learning (ICML), 2019 Guang-He Lee Wengong Jin David Alvarez-Melis Tommi Jaakkola 132 19 0 26 Feb 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 137 1 0 24 Jan 2019
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization Wengong Jin Kevin Kaichuang Yang Regina Barzilay Tommi Jaakkola 378 251 0 03 Dec 2018