Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks

4 October 2018

Papers citing "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks"

50 / 808 papers shown

Title
Adversarial Attacks on Graph Classification via Bayesian Optimisation Xingchen Wan Henry Kenlay Binxin Ru Arno Blaas Michael A. Osborne Xiaowen Dong AAML 14 12 0 04 Nov 2021
On Provable Benefits of Depth in Training Graph Convolutional Networks Weilin Cong M. Ramezani M. Mahdavi 24 73 0 28 Oct 2021
Towards a Taxonomy of Graph Learning Datasets Renming Liu Semih Cantürk Frederik Wenkel Dylan Sandfelder Devin Kreuzer ... Michal Perlmutter Bastian Alexander Rieck M. Hirn Guy Wolf Ladislav Rampášek 19 0 0 27 Oct 2021
VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization Mucong Ding Kezhi Kong Jingling Li Chen Zhu John P. Dickerson Furong Huang Tom Goldstein GNN MQ 33 47 0 27 Oct 2021
A Variational Graph Autoencoder for Manipulation Action Recognition and Prediction Gamze Akyol Sanem Sariel E. Aksoy GNN DRL BDL 41 2 0 25 Oct 2021
Nested Graph Neural Networks Muhan Zhang Pan Li 27 163 0 25 Oct 2021
Graph Filtration Kernels Till Hendrik Schulz Pascal Welke Stefanie Wrobel 24 12 0 22 Oct 2021
Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features Shanchao Yang Kaili Ma Baoxiang Wang Tianshu Yu H. Zha AAML 25 0 0 18 Oct 2021
Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and Pipelining Tim Kaler Nickolas Stathas Anne Ouyang A. Iliopoulos Tao B. Schardl C. E. Leiserson Jie Chen GNN 70 52 0 16 Oct 2021
Graph Neural Networks with Learnable Structural and Positional Representations Vijay Prakash Dwivedi A. Luu T. Laurent Yoshua Bengio Xavier Bresson GNN 197 309 0 15 Oct 2021
SoGCN: Second-Order Graph Convolutional Networks Peihao Wang Yuehao Wang Hua Lin Jianbo Shi 32 3 0 14 Oct 2021
Social Recommendation with Self-Supervised Metagraph Informax Network Xiaoling Long Chao Huang Yong-mei Xu Huance Xu Peng Dai Lianghao Xia Liefeng Bo 50 86 0 08 Oct 2021
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness Lingxiao Zhao Wei Jin L. Akoglu Neil Shah GNN 24 160 0 07 Oct 2021
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design Ye Yuan Yuda Song Zhengyi Luo Wen Sun Kris M. Kitani 19 34 0 07 Oct 2021
Equivariant Subgraph Aggregation Networks Beatrice Bevilacqua Fabrizio Frasca Derek Lim Balasubramaniam Srinivasan Chen Cai G. Balamurugan M. Bronstein Haggai Maron 53 175 0 06 Oct 2021
Semi-relaxed Gromov-Wasserstein divergence with applications on graphs Cédric Vincent-Cuaz Rémi Flamary Marco Corneli Titouan Vayer Nicolas Courty OT 35 23 0 06 Oct 2021
Attentive Walk-Aggregating Graph Neural Networks M. F. Demirel Shengchao Liu Siddhant Garg Zhenmei Shi Yingyu Liang 87 9 0 06 Oct 2021
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 25 50 0 06 Oct 2021
Networked Time Series Prediction with Incomplete Data via Generative Adversarial Network Yichen Zhu Bo Jiang Haiming Jin Mengtian Zhang Feng Gao Jianqiang Huang Tao Lin Xinbing Wang GNN AI4TS 40 5 0 05 Oct 2021
Top-N: Equivariant set and graph generation without exchangeability Clément Vignac P. Frossard BDL 68 34 0 05 Oct 2021
Permute Me Softly: Learning Soft Permutations for Graph Representations Giannis Nikolentzos George Dasoulas Michalis Vazirgiannis GNN 36 9 0 05 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 130 78 0 01 Oct 2021
Leveraging power grid topology in machine learning assisted optimal power flow Thomas Falconer Letif Mones 9 46 0 01 Oct 2021
Learning General Optimal Policies with Graph Neural Networks: Expressive Power, Transparency, and Limits Simon Ståhlberg Blai Bonet Hector Geffner 38 48 0 21 Sep 2021
Graph Neural Networks for Graph Drawing Matteo Tiezzi Gabriele Ciravegna Marco Gori 26 20 0 21 Sep 2021
RaWaNet: Enriching Graph Neural Network Input via Random Walks on Graphs Anahita Iravanizad E. Medina Martin Stoll GNN 31 1 0 15 Sep 2021
PhysGNN: A Physics-Driven Graph Neural Network Based Model for Predicting Soft Tissue Deformation in Image-Guided Neurosurgery Yasmin Salehi D. Giannacopoulos AI4CE 18 27 0 09 Sep 2021
Predicting isocitrate dehydrogenase mutation status in glioma using structural brain networks and graph neural networks Yiran Wei Yonghao Li Xi Chen Carola-Bibiane Schönlieb Chao Li S. Price 8 3 0 04 Sep 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 27 8 0 04 Sep 2021
Tree-Constrained Graph Neural Networks For Argument Mining Federico Ruggeri Marco Lippi Paolo Torroni 26 3 0 02 Sep 2021
Computing Graph Descriptors on Edge Streams Zohair Raza Hassan Sarwan Ali Imdadullah Khan Mudassir Shabbir W. Abbas 11 7 0 02 Sep 2021
From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey Giuseppe Marra Sebastijan Dumancic Robin Manhaeve Luc de Raedt NAI 21 60 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 31 42 0 24 Aug 2021
Pooling Architecture Search for Graph Classification Lan Wei Huan Zhao Quanming Yao Zhiqiang He AI4CE 16 71 0 24 Aug 2021
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study Tianlong Chen Kaixiong Zhou Keyu Duan Wenqing Zheng Peihao Wang Xia Hu Zhangyang Wang AAML GNN 27 61 0 24 Aug 2021
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy Chitrank Gupta Yash Jain A. De Soumen Chakrabarti AI4CE 23 4 0 23 Aug 2021
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images Haozhe Jia Haoteng Tang Guixiang Ma Weidong (Tom) Cai Heng-Chiao Huang Liang Zhan Yong-quan Xia 11 7 0 09 Aug 2021
You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions & Insights Mithun Das Punyajoy Saha Ritam Dutt Pawan Goyal Animesh Mukherjee Binny Mathew 13 22 0 01 Aug 2021
Ego-GNNs: Exploiting Ego Structures in Graph Neural Networks Dylan Sandfelder Priyesh Vijayan William L. Hamilton 14 26 0 22 Jul 2021
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation Jingwen Hu Yuchen Liu Jinming Zhao Qin Jin 37 199 0 14 Jul 2021
Generalization of graph network inferences in higher-order graphical models Yicheng Fei Xaq Pitkow 16 0 0 12 Jul 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 19 13 0 05 Jul 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 107 0 01 Jul 2021
Graph Convolutional Memory using Topological Priors Steven D. Morad Stephan Liwicki Ryan Kortvelesy R. Mecca Amanda Prorok 11 0 0 27 Jun 2021
Pruning Edges and Gradients to Learn Hypergraphs from Larger Sets David W. Zhang Gertjan J. Burghouts Cees G. M. Snoek 37 4 0 26 Jun 2021
Weisfeiler and Lehman Go Cellular: CW Networks Cristian Bodnar Fabrizio Frasca N. Otter Yu Guang Wang Pietro Lió Guido Montúfar M. Bronstein GNN 33 224 0 23 Jun 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 30 39 0 22 Jun 2021
Large-Scale Chemical Language Representations Capture Molecular Structure and Properties Jerret Ross Brian M. Belgodere Vijil Chenthamarakshan Inkit Padhi Youssef Mroueh Payel Das AI4CE 24 272 0 17 Jun 2021
On the approximation capability of GNNs in node classification/regression tasks Giuseppe Alessio D’Inverno Monica Bianchini M. Sampoli F. Scarselli 22 11 0 16 Jun 2021
Node Classification Meets Link Prediction on Knowledge Graphs Ralph Abboud .Ismail .Ilkan Ceylan 11 3 0 14 Jun 2021