Towards Sparse Hierarchical Graph Classifiers

3 November 2018

Papers citing "Towards Sparse Hierarchical Graph Classifiers"

50 / 133 papers shown

Title
Interpretable graph-based models on multimodal biomedical data integration: A technical review and benchmarking Alireza Sadeghi F. Hajati A. Argha Nigel H Lovell Min Yang Hamid Alinejad-Rokny 34 0 0 03 May 2025
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational Pathology Amaya Gallagher-Syed Henry Senior Omnia Alwazzan Elena Pontarini Michele Bombardieri C. Pitzalis M. Lewis Michael Barnes Luca Rossi Gregory G. Slabaugh 41 0 0 26 Mar 2025
Deep Modularity Networks with Diversity--Preserving Regularization Yasmin Salehi D. Giannacopoulos 31 0 0 23 Jan 2025
Revisiting Graph Neural Networks on Graph-level Tasks: Comprehensive Experiments, Analysis, and Improvements Haoyang Li Y. Xu C. Zhang Alexander Zhou Lei Chen Qing Li AI4CE 141 0 0 03 Jan 2025
Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes Kevin Ferguson Yu-Hsuan Chen Yiming Chen Andrew Gillman James Hardin Levent Burak Kara AI4CE 21 2 0 08 Oct 2024
Recovering Time-Varying Networks From Single-Cell Data Euxhen Hasanaj Barnabás Póczos Ziv Bar-Joseph AI4CE 19 0 0 01 Oct 2024
MTLSO: A Multi-Task Learning Approach for Logic Synthesis Optimization Faezeh Faez Raika Karimi Yingxue Zhang Xing Li Lei Chen M. Yuan Mahdi Biparva 30 2 0 09 Sep 2024
A Structural Feature-Based Approach for Comprehensive Graph Classification Saiful Islam M. Hasan P. Khanra 35 2 0 10 Aug 2024
Aero-Nef: Neural Fields for Rapid Aircraft Aerodynamics Simulations Giovanni Catalani Siddhant Agarwal Xavier Bertrand Frédéric Tost Michaël Bauerheim Joseph Morlier AI4CE 41 4 0 29 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 40 0 0 26 Jul 2024
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic Datasets Partha Chakraborty Krishna Kanth Arumugam Mahmoud Alfadel Meiyappan Nagappan Shane McIntosh 22 1 0 03 Jul 2024
TopoGCL: Topological Graph Contrastive Learning Yuzhou Chen José Frías Yulia R. Gel 29 8 0 25 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 26 1 0 17 Jun 2024
Survey of Graph Neural Network for Internet of Things and NextG Networks Sabarish Krishna Moorthy Jithin Jagannath 34 2 0 27 May 2024
Improving the interpretability of GNN predictions through conformal-based graph sparsification Pablo Sánchez-Martín Kinaan Aamir Khan Isabel Valera 29 3 0 18 Apr 2024
Sort & Slice: A Simple and Superior Alternative to Hash-Based Folding for Extended-Connectivity Fingerprints Markus Dablander Thierry Hanser R. Lambiotte Garrett M. Morris 35 1 0 10 Mar 2024
Predicting the Temperature Dependence of Surfactant CMCs Using Graph Neural Networks Christoforos Brozos Jan G. Rittig Sandip Bhattacharya Elie Akanny Christina Kohlmann Alexander Mitsos 27 4 0 06 Mar 2024
Boosting Graph Pooling with Persistent Homology Chaolong Ying Xinjian Zhao Tianshu Yu GNN AI4CE 29 3 0 26 Feb 2024
Generalization Error of Graph Neural Networks in the Mean-field Regime Gholamali Aminian Yixuan He G. Reinert Lukasz Szpruch Samuel N. Cohen 43 3 0 10 Feb 2024
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations Binghui Xie Yatao Bian Kaiwen Zhou Yongqiang Chen Peilin Zhao Bo Han Wei Meng James Cheng 14 1 0 05 Feb 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 29 9 0 22 Jan 2024
Learning 3D Particle-based Simulators from RGB-D Videos William F. Whitney Tatiana López-Guevara Tobias Pfaff Yulia Rubanova Thomas Kipf Kimberly L. Stachenfeld Kelsey R. Allen VGen 30 11 0 08 Dec 2023
Everybody Needs a Little HELP: Explaining Graphs via Hierarchical Concepts Jonas Jürß Lucie Charlotte Magister Pietro Barbiero Pietro Lió Nikola Simidjievski 36 1 0 25 Nov 2023
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning Hao Xu Yifei Wang Yunrui Li Pengyu Hong Pengyu Hong 27 3 0 11 Nov 2023
MUSTANG: Multi-Stain Self-Attention Graph Multiple Instance Learning Pipeline for Histopathology Whole Slide Images Amaya Gallagher-Syed Luca Rossi F. Rivellese C. Pitzalis M. Lewis Michael Barnes Gregory Slabaugh 22 0 0 19 Sep 2023
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects Haomin Wen Youfang Lin Lixia Wu Xiaowei Mao Tianyu Cai ... Guangyin Jin Yiji Zhao Roger Zimmermann Jieping Ye Huaiyu Wan AI4TS 36 4 0 03 Sep 2023
Functional Graph Contrastive Learning of Hyperscanning EEG Reveals Emotional Contagion Evoked by Stereotype-Based Stressors Jingyun Huang Rachel C. Amey Mengting Liu Chad E. Forbes 21 1 0 22 Aug 2023
Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views Asif Khan Amos Storkey 22 1 0 19 Aug 2023
Decentralized Graph Neural Network for Privacy-Preserving Recommendation Xiaolin Zheng Zhongyu Wang Chaochao Chen Jiashu Qian Yao Yang FedML 33 8 0 15 Aug 2023
Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks Zhili Wang Shimin Di Lei Chen Xiaofang Zhou 35 10 0 14 Aug 2023
Structural Embeddings of Tools for Large Language Models Eren Unlu 11 1 0 01 Aug 2023
Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-hand Objects Alireza Rezazadeh Snehal Dikhale Soshi Iba Nawid Jamali 11 8 0 28 Jun 2023
On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling Chuang Liu Yibing Zhan Baosheng Yu Liu Liu Bo Du Wenbin Hu Tongliang Liu 22 11 0 22 Jun 2023
Neural Machine Translation with Dynamic Graph Convolutional Decoder Lei Li Kai Fan Ling Yang Hongjian Li Chun Yuan 27 4 0 28 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 30 52 0 15 May 2023
NervePool: A Simplicial Pooling Layer Sarah McGuire E. Munch M. Hirn 25 1 0 10 May 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Topological Pooling on Graphs Yuzhou Chen Yulia R. Gel 17 10 0 25 Mar 2023
MPool: Motif-Based Graph Pooling Muhammad Ifte Khairul Islam Max Khanov Esra Akbas 17 4 0 07 Mar 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Jia Wu Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio' GNN AI4CE 35 10 0 14 Jan 2023
Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images M. Behzadi M. Madani Hanzhang Wang Jun Bai Ankit Bhardwaj A. Tarakanova H. Yamase Ga Hie Nam S. Nabavi MedIm 30 10 0 25 Dec 2022
MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics Cooper Lorsung A. Farimani AI4CE 18 0 0 02 Dec 2022
Total Variation Graph Neural Networks Jonas Hansen F. Bianchi 25 12 0 11 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 16 5 0 07 Nov 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio' Bruno Lepri Andrea Passerini 46 27 0 27 Oct 2022
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning Linfeng Liu Xuhong Han Dawei Zhou Liping Liu 30 5 0 19 Oct 2022
Pooling Strategies for Simplicial Convolutional Networks Domenico Mattia Cinque Claudio Battiloro P. Lorenzo 30 5 0 11 Oct 2022
On the Effectiveness of Hybrid Pooling in Mixup-Based Graph Learning for Language Processing Zeming Dong Qiang Hu Zhenya Zhang Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon Jianjun Zhao 29 3 0 06 Oct 2022
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Zehao Dong Heming Zhang Yixin Chen Philip R. O. Payne Fuhai Li GNN 38 16 0 19 Sep 2022
Infrared: A Meta Bug Detector Chi Zhang Yu Wang Linzhang Wang 21 1 0 18 Sep 2022