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Benchmarking Graph Neural Networks

2 March 2020

Vijay Prakash Dwivedi

Papers citing "Benchmarking Graph Neural Networks"

50 / 622 papers shown

Title
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen Siyu Heng Xiao Luo 83 1 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 83 31 0 13 Jun 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom Yam Eitan Fabrizio Frasca Haggai Maron 86 1 0 13 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 88 8 0 09 Jun 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks Bohang Zhang Lingxiao Zhao Haggai Maron 77 12 0 06 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen Till Hendrik Schulz Karsten Borgwardt 71 6 0 05 Jun 2024
E(n) Equivariant Message Passing Cellular Networks Veljko Kovač Erik J. Bekkers Pietro Lio Floor Eijkelboom 66 1 0 05 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 208 9 0 05 Jun 2024
Graph External Attention Enhanced Transformer Jianqing Liang Min Chen Jiye Liang 77 2 0 31 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 125 2 0 30 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 99 9 0 29 May 2024
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens Félix Marcoccia C. Adjih P. Mühlethaler 67 0 0 28 May 2024
Graph Sparsification via Mixture of Graphs Guibin Zhang Xiangguo Sun Xinfeng Li Kun Wang Tianlong Chen Shirui Pan 63 9 0 23 May 2024
Attending to Topological Spaces: The Cellular Transformer Rubén Ballester Pablo Hernández-García Mathilde Papillon Claudio Battiloro Nina Miolane Tolga Birdal Carles Casacuberta Sergio Escalera Mustafa Hajij 71 5 0 23 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 135 1 0 22 May 2024
Channel Balance Interpolation in the Lightning Network via Machine Learning Vincent Emanuele Rossi Vikash Singh 113 1 0 20 May 2024
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection Zhanguang Zhang Didier Chetelat Joseph Cotnareanu Amur Ghose Wenyi Xiao Hui-Ling Zhen Yingxue Zhang Jianye Hao Mark Coates Mingxuan Yuan NAI 53 1 0 17 May 2024
Conditional Local Feature Encoding for Graph Neural Networks Yongze Wang Haimin Zhang Qiang Wu Min Xu AI4CE GNN 66 1 0 08 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers Wenhao Zhu Guojie Song Liangji Wang Shaoguo Liu 81 0 0 06 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 78 4 0 05 May 2024
Explaining models relating objects and privacy Alessio Xompero Myriam Bontonou J. Arbona Emmanouil Benetos Andrea Cavallaro 60 1 0 02 May 2024
Gradformer: Graph Transformer with Exponential Decay Chuang Liu Zelin Yao Yibing Zhan Xueqi Ma Shirui Pan Wenbin Hu 83 4 0 24 Apr 2024
Uncertainty Quantification on Graph Learning: A Survey Chao Chen Chenghua Guo Rui Xu Xiangwen Liao Xi Zhang Sihong Xie Hui Xiong Mohit Bansal AI4CE 60 1 0 23 Apr 2024
CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma Soumyasundar Pal Yitian Zhang Jiaming Zhou Yingxue Zhang Mark Coates 70 5 0 21 Apr 2024
GRANOLA: Adaptive Normalization for Graph Neural Networks Moshe Eliasof Beatrice Bevilacqua Carola-Bibiane Schönlieb Haggai Maron 99 5 0 20 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 78 0 0 15 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 87 3 0 15 Apr 2024
CSA-Trans: Code Structure Aware Transformer for AST Saeyoon Oh Shin Yoo 78 1 0 07 Apr 2024
Learning From Simplicial Data Based on Random Walks and 1D Convolutions Florian Frantzen Michael T. Schaub 142 0 0 04 Apr 2024
On the Theoretical Expressive Power and the Design Space of Higher-Order Graph Transformers Cai Zhou Rose Yu Yusu Wang 98 7 0 04 Apr 2024
GeNet: A Graph Neural Network-based Anti-noise Task-Oriented Semantic Communication Paradigm Chunhang Zheng Kechao Cai 47 0 0 27 Mar 2024
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks Huifeng Yin M. Xu Jing Pei Lei Deng GNN 26 0 0 25 Mar 2024
Weisfeiler and Leman Go Loopy: A New Hierarchy for Graph Representational Learning Raffaele Paolino Sohir Maskey Pascal Welke Gitta Kutyniok 84 2 0 20 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 141 2 0 19 Mar 2024
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring Christopher Irwin Marco Dossena G. Leonardi Stefania Montani MedIm 69 0 0 13 Mar 2024
Iterative Graph Neural Network Enhancement via Frequent Subgraph Mining of Explanations Harish Naik Jan Polster Raj Shekhar Tamás L. Horváth Gyorgy Turán 72 3 0 12 Mar 2024
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data Jinghan Huang Qiufeng Chen Yijun Bian Pengli Zhu Nanguang Chen Moo K. Chung Anqi Qiu 83 0 0 11 Mar 2024
Attention is all you need for boosting graph convolutional neural network Yinwei Wu GNN 72 0 0 10 Mar 2024
Generalization of Graph Neural Networks through the Lens of Homomorphism Shouheng Li Dongwoo Kim Qing Wang 71 1 0 10 Mar 2024
On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods Montgomery Bohde Meng Liu Alexandra Saxton Shuiwang Ji OOD 89 9 0 07 Mar 2024
Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day Michael Benedikt .Ismail .Ilkan Ceylan Ben Finkelshtein GNN 104 3 0 06 Mar 2024
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion Le Cheng Peican Zhu Keke Tang Chao Gao Zhen Wang 53 17 0 27 Feb 2024
Comparing Graph Transformers via Positional Encodings Mitchell Black Qingsong Wang Zhengchao Wan A. Nayyeri Yusu Wang 78 13 0 22 Feb 2024
Cell Graph Transformer for Nuclei Classification Wei Lou Guanbin Li Xiang Wan Haofeng Li ViT MedIm 108 5 0 20 Feb 2024
Continual Learning on Graphs: Challenges, Solutions, and Opportunities Xikun Zhang Dongjin Song Dacheng Tao CLL 69 10 0 18 Feb 2024
Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling Ivan Marisca Cesare Alippi F. Bianchi AI4TS 59 11 0 16 Feb 2024
Graph Mamba: Towards Learning on Graphs with State Space Models Ali Behrouz Farnoosh Hashemi AI4CE 178 68 0 13 Feb 2024
Homomorphism Counts for Graph Neural Networks: All About That Basis Emily Jin Michael M. Bronstein .Ismail .Ilkan Ceylan Matthias Lanzinger 74 15 0 13 Feb 2024
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products Guy Bar-Shalom Beatrice Bevilacqua Haggai Maron AI4CE 71 6 0 13 Feb 2024
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction Minsang Kim Seung Baek 82 1 0 13 Feb 2024