Design Space for Graph Neural Networks

17 November 2020

Papers citing "Design Space for Graph Neural Networks"

50 / 164 papers shown

Title
From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Jie Yang Yuwen Wang Kaixuan Chen Tongya Zheng Yihe Zhou Zhenbang Xiao Ji Cao Mingli Song S. Liu AI4CE 44 1 0 01 May 2025
Geometric Properties and Graph-Based Optimization of Neural Networks: Addressing Non-Linearity, Dimensionality, and Scalability Michael Wienczkowski Addisu Desta Paschal Ugochukwu AI4CE GNN 41 0 0 24 Feb 2025
A graph neural network-based model with Out-of-Distribution Robustness for enhancing Antiretroviral Therapy Outcome Prediction for HIV-1 Giulia Di Teodoro F. Siciliano V. Guarrasi A. Vandamme Valeria Ghisetti Anders Sönnerborg Maurizio Zazzi Fabrizio Silvestri L. Palagi 64 8 0 24 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs Song Wang Zhen Tan Yaochen Zhu Chuxu Zhang Wenlin Yao OOD 101 0 0 11 Feb 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 58 0 0 27 Dec 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 81 0 0 19 Nov 2024
Enhancing Missing Data Imputation through Combined Bipartite Graph and Complete Directed Graph Zhaoyang Zhang Hongtu Zhu Ziqi Chen Yingjie Zhang Hai Shu 35 0 0 07 Nov 2024
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction Haotong Du Quanming Yao Juzheng Zhang Y. Liu Zhen Wang 34 2 0 03 Nov 2024
A Hierarchical Language Model For Interpretable Graph Reasoning Sambhav Khurana Xiner Li Shurui Gui Shuiwang Ji LRM 34 0 0 29 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 28 0 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 40 1 0 07 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 32 5 0 04 Oct 2024
Learning to Solve Combinatorial Optimization under Positive Linear Constraints via Non-Autoregressive Neural Networks Runzhong Wang Yang Li Junchi Yan Xiaokang Yang AI4CE 44 0 0 06 Sep 2024
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection Luca Silvano Carocci Qiwei Han 21 0 0 25 Aug 2024
Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models Jialiang Wang Shimin Di Hanmo Liu Zhili Wang Jiachuan Wang Lei Chen Xiaofang Zhou 34 0 0 13 Aug 2024
Relaxing Graph Transformers for Adversarial Attacks Philipp Foth Lukas Gosch Simon Geisler Leo Schwinn Stephan Günnemann AAML 45 1 0 16 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 38 1 0 15 Jul 2024
Benchmarking GNNs Using Lightning Network Data Rainer Feichtinger Florian Grötschla Lioba Heimbach Roger Wattenhofer 27 0 0 05 Jul 2024
BADM: Batch ADMM for Deep Learning Ouya Wang Shenglong Zhou Geoffrey Ye Li ODL 50 1 0 30 Jun 2024
GC-Bench: A Benchmark Framework for Graph Condensation with New Insights Shengbo Gong Juntong Ni Noveen Sachdeva Carl Yang Wei Jin DD 34 3 0 24 Jun 2024
Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture Zhengxin Yang Wanling Gao Luzhou Peng Yunyou Huang Fei Tang Jianfeng Zhan 33 0 0 20 Jun 2024
Explainable AI Security: Exploring Robustness of Graph Neural Networks to Adversarial Attacks Tao Wu Canyixing Cui Xingping Xian Shaojie Qiao Chao Wang Lin Yuan Shui Yu AAML 44 0 0 20 Jun 2024
Evaluating representation learning on the protein structure universe Arian R. Jamasb Alex Morehead Chaitanya K. Joshi Zuobai Zhang Kieran Didi ... Charles Harris Jian Tang Jianlin Cheng Pietro Lio Tom L. Blundell SSL 48 12 0 19 Jun 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li Zixing Gou Xiangnan Zhang Zhongyuan Liu Sirui Li Yuntong Hu Chen Ling Zheng Zhang Liang Zhao 42 6 0 14 Jun 2024
Combinatorial Optimization with Automated Graph Neural Networks Yang Liu Peng Zhang Yang Gao Chuan Zhou Zhao Li Hongyang Chen AI4CE GNN 33 2 0 05 Jun 2024
GCondenser: Benchmarking Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 38 8 0 23 May 2024
Unleash Graph Neural Networks from Heavy Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao AI4CE 27 2 0 21 May 2024
Desk-AId: Humanitarian Aid Desk Assessment with Geospatial AI for Predicting Landmine Areas Flavio Cirillo Gürkan Solmaz Yi-Hsuan Peng Christian Bizer Martin Jebens 29 0 0 15 May 2024
HOEG: A New Approach for Object-Centric Predictive Process Monitoring Tim K. Smit H. Reijers Xixi Lu 26 2 0 08 Apr 2024
GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection Namyong Park Ryan Rossi Xing Wang Antoine Simoulin Nesreen K. Ahmed Christos Faloutsos VLM 51 2 0 02 Apr 2024
Building Optimal Neural Architectures using Interpretable Knowledge Keith G. Mills Fred X. Han Mohammad Salameh Shengyao Lu Chunhua Zhou Jiao He Fengyu Sun Di Niu 36 1 0 20 Mar 2024
Automated Contrastive Learning Strategy Search for Time Series Baoyu Jing Yansen Wang Guoxin Sui Jing Hong Jingrui He Yuqing Yang Dongsheng Li Kan Ren AI4TS 32 6 0 19 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 42 12 0 08 Mar 2024
Learning Invariant Representations of Graph Neural Networks via Cluster Generalization Donglin Xia Xiao Wang Nian Liu Chuan Shi 45 10 0 06 Mar 2024
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models Lanning Wei Jun Gao Huan Zhao Quanming Yao 30 1 0 18 Feb 2024
GraphViz2Vec: A Structure-aware Feature Generation Model to Improve Classification in GNNs S. Chatterjee Suman Kundu 8 0 0 30 Jan 2024
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem Chen Huang Haoyang Li Yifan Zhang Wenqiang Lei Jiancheng Lv 38 3 0 26 Jan 2024
TPTNet: A Data-Driven Temperature Prediction Model Based on Turbulent Potential Temperature Jun Park Changhoon Lee 31 1 0 22 Dec 2023
Content Augmented Graph Neural Networks Fatemeh Gholamzadeh Nasrabadi AmirHossein Kashani Pegah Zahedi M. H. Chehreghani 18 2 0 21 Nov 2023
Mesh Neural Cellular Automata Ehsan Pajouheshgar Yitao Xu A. Mordvintsev Eyvind Niklasson Tong Zhang Sabine Süsstrunk 28 7 0 06 Nov 2023
GSC: Generalizable Service Coordination Farzad Mohammadi V. Shah-Mansouri GNN 14 1 0 05 Nov 2023
Entropy Aware Training for Fast and Accurate Distributed GNN Dhruv Deshmukh Gagan Raj Gupta Manisha Chawla Vishwesh Jatala Anirban Haldar 32 0 0 04 Nov 2023
Modeling Dynamics over Meshes with Gauge Equivariant Nonlinear Message Passing Jung Yeon Park Lawson L. S. Wong Robin Walters AI4CE 13 0 0 30 Oct 2023
Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning Yufei Kuang Xijun Li Jie Wang Fangzhou Zhu Meng Lu Zhihai Wang Jianguo Zeng Houqiang Li Yongdong Zhang Feng Wu 29 4 0 18 Oct 2023
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning Yun Zhu Yaoke Wang Haizhou Shi Zhenshuo Zhang Dian Jiao Siliang Tang AI4CE 34 27 0 11 Oct 2023
Are GATs Out of Balance? Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 48 4 0 11 Oct 2023
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets Dominique Beaini Shenyang Huang Joao Alex Cunha Zhiyi Li Gabriela Moisescu-Pareja ... Thérence Bois Andrew Fitzgibbon Bla.zej Banaszewski Chad Martin Dominic Masters AI4CE 28 19 0 06 Oct 2023
On the Equivalence of Graph Convolution and Mixup Xiaotian Han Hanqing Zeng Yu Chen Shaoliang Nie Jingzhou Liu ... Karthik Abinav Sankararaman Song Jiang Madian Khabsa Qifan Wang Xia Hu 52 0 0 29 Sep 2023
ADGym: Design Choices for Deep Anomaly Detection Minqi Jiang Chaochuan Hou Ao Zheng Songqiao Han Hailiang Huang Qingsong Wen Xiyang Hu Yue Zhao 23 14 0 27 Sep 2023