Towards Sparse Hierarchical Graph Classifiers

3 November 2018

Papers citing "Towards Sparse Hierarchical Graph Classifiers"

50 / 133 papers shown

Title
Cell Attention Networks Lorenzo Giusti Claudio Battiloro Lucia Testa P. Lorenzo S. Sardellitti Sergio Barbarossa 3DPC GNN 135 32 0 16 Sep 2022
Generalizing Downsampling from Regular Data to Graphs D. Bacciu A. Conte Francesco Landolfi 45 8 0 06 Aug 2022
Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction Inhwan Bae Jin-Hwi Park Hae-Gon Jeon 20 44 0 20 Jul 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 41 57 0 22 Jun 2022
How GNNs Facilitate CNNs in Mining Geometric Information from Large-Scale Medical Images Yiqing Shen Bingxin Zhou Xinye Xiong Ruitian Gao Yu Guang Wang GNN MedIm 20 5 0 15 Jun 2022
DiffWire: Inductive Graph Rewiring via the Lovász Bound Adrián Arnaiz-Rodríguez Ahmed Begga Francisco Escolano Nuria Oliver 24 62 0 15 Jun 2022
Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 23 17 0 11 Jun 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Jia Wu Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 38 0 0 31 May 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 17 3 0 30 May 2022
LeNSE: Learning To Navigate Subgraph Embeddings for Large-Scale Combinatorial Optimisation David Ireland Giovanni Montana GNN 4 9 0 20 May 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Jia Wu Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 27 79 0 15 Apr 2022
SpeqNets: Sparsity-aware Permutation-equivariant Graph Networks Christopher Morris Gaurav Rattan Sandra Kiefer Siamak Ravanbakhsh 44 39 0 25 Mar 2022
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications Kexin Ding Mu Zhou Zichen Wang Qiao Liu C. Arnold Shaoting Zhang Dimitris N. Metaxas GNN MedIm AI4CE 27 12 0 17 Feb 2022
Boosting Graph Neural Networks by Injecting Pooling in Message Passing Hyeokjin Kwon Jong-Min Lee 28 0 0 08 Feb 2022
Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport Mahdi Saleh Shun-cheng Wu Luca Cosmo Nassir Navab Benjamin Busam F. Tombari 20 22 0 03 Feb 2022
MOOMIN: Deep Molecular Omics Network for Anti-Cancer Drug Combination Therapy Benedek Rozemberczki A. Gogleva S. Nilsson G. Edwards A. Nikolov Eliseo Papa GNN 23 19 0 28 Oct 2021
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection Van-Anh Nguyen D. Q. Nguyen Van Nguyen Trung Le Quan Hung Tran Dinh Q. Phung 20 109 0 14 Oct 2021
Understanding Pooling in Graph Neural Networks Daniele Grattarola Daniele Zambon F. Bianchi C. Alippi GNN FAtt AI4CE 24 90 0 11 Oct 2021
Reconstruction for Powerful Graph Representations Leonardo Cotta Christopher Morris Bruno Ribeiro AI4CE 127 78 0 01 Oct 2021
Revisiting Point Cloud Simplification: A Learnable Feature Preserving Approach Rolandos Alexandros Potamias Giorgos Bouritsas S. Zafeiriou 3DPC 33 18 0 30 Sep 2021
Graph coarsening: From scientific computing to machine learning Jie Chen Y. Saad Zecheng Zhang 20 39 0 22 Jun 2021
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Abhishek Nadgeri Anson Bastos Kuldeep Singh I. Mulang' Johannes Hoffart Saeedeh Shekarpour V. Saraswat SLR 20 32 0 01 Jun 2021
Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment T. Dash A. Srinivasan A. Baskar 31 13 0 22 May 2021
Graph Neural Networks for Inconsistent Cluster Detection in Incremental Entity Resolution Robert A. Barton T. Neiman Changhe Yuan 19 0 0 12 May 2021
Seeing All From a Few: Nodes Selection Using Graph Pooling for Graph Clustering Yiming Wang Dongxia Chang Zhiqiang Fu Yao Zhao GNN 13 1 0 30 Apr 2021
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali 14 12 0 27 Apr 2021
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation Ryuhei Hamaguchi Yasutaka Furukawa Masaki Onishi Ken Sakurada 10 4 0 22 Apr 2021
Should Graph Neural Networks Use Features, Edges, Or Both? Lukas Faber Yifan Lu Roger Wattenhofer GNN 8 10 0 11 Mar 2021
Set Representation Learning with Generalized Sliced-Wasserstein Embeddings Navid Naderializadeh Soheil Kolouri Joseph F. Comer Reed W. Andrews Heiko Hoffmann 13 6 0 05 Mar 2021
Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks Cristian Bodnar Fabrizio Frasca Yu Guang Wang N. Otter Guido Montúfar Pietro Lió M. Bronstein 31 247 0 04 Mar 2021
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities Takeshi D. Itoh Takatomi Kubo K. Ikeda 18 29 0 02 Mar 2021
Accurate Learning of Graph Representations with Graph Multiset Pooling Jinheon Baek Minki Kang Sung Ju Hwang 28 172 0 23 Feb 2021
How Framelets Enhance Graph Neural Networks Xuebin Zheng Bingxin Zhou Junbin Gao Yu Guang Wang Pietro Lió Ming Li Guido Montúfar 51 69 0 13 Feb 2021
Graph Coarsening with Neural Networks Chen Cai Dingkang Wang Yusu Wang DD 22 66 0 02 Feb 2021
$Automatic design of novel potential 3CL$^{\text{pro}}$ and PL$^{\text{pro}}$ inhibitors$ Automatic design of novel potential 3CL $^{\text{pro}}$ and PL $^{\text{pro}}$ inhibitors Timothy James Atkinson Saeed Saremi Faustino J. Gomez Jonathan Masci AI4CE 15 0 0 28 Jan 2021
SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism Qingyun Sun Jianxin Li Hao Peng Jia Wu Yuanxing Ning Phillip S. Yu Lifang He 16 162 0 20 Jan 2021
A pipeline for fair comparison of graph neural networks in node classification tasks Wentao Zhao Dalin Zhou X. Qiu Wei Jiang 8 5 0 19 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 25 115 0 16 Dec 2020
Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 21 36 0 09 Dec 2020
Graph Convolutional Neural Networks for Body Force Prediction Francis Ogoke Kazem Meidani Amirreza Hashemi A. Farimani GNN AI4CE 14 61 0 03 Dec 2020
Fake News Detection in Social Media using Graph Neural Networks and NLP Techniques: A COVID-19 Use-case A. Hamid Nasrullah Shiekh Naina Said Kashif Ahmad Asma Gul Laiq Hassan Ala I. Al-Fuqaha 11 37 0 30 Nov 2020
Can neural networks learn persistent homology features? Guido Montúfar N. Otter Yuguang Wang 23 12 0 30 Nov 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks Hao Tang Zhiao Huang Jiayuan Gu Bao-Liang Lu Hao Su AI4CE 19 9 0 26 Oct 2020
Incorporating Symbolic Domain Knowledge into Graph Neural Networks T. Dash A. Srinivasan L. Vig NAI 27 25 0 23 Oct 2020
Multi-grained Semantics-aware Graph Neural Networks Zhiqiang Zhong Chengzong Li Jun Pang AI4CE 11 8 0 01 Oct 2020
Quaternion Graph Neural Networks D. Q. Nguyen T. Nguyen Dinh Q. Phung GNN 17 32 0 12 Aug 2020
Multi-view adaptive graph convolutions for graph classification Nikolas Adaloglou N. Vretos P. Daras 11 10 0 24 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning Xuebin Zheng Bingxin Zhou Ming Li Yu Guang Wang Junbin Gao 17 2 0 22 Jul 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lió GNN 25 54 0 29 Jun 2020
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification Kai Zhang Yaokang Zhu Jun Wang Jie Zhang H. Zha 6 0 0 29 Jun 2020