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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
Beyond 1-WL with Local Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 65 5 0 27 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 86 7 0 26 Nov 2022
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features Siyang Song Yuxin Song Cheng Luo Zhiyuan Song Selim Kuzucu Xi Jia Zhijiang Guo Weicheng Xie Linlin Shen Hatice Gunes 49 25 0 19 Nov 2022
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test Chang-Shu Liu Yuwen Yang Yue Ding Hongtao Lu 63 1 0 19 Nov 2022
Data-Driven Network Neuroscience: On Data Collection and Benchmark Jiaxing Xu Yunhan Yang David Tse Jung Huang S. S. Gururajapathy Yiping Ke Miao Qiao Alan Wang Haribalan Kumar Josh McGeown Yunhan Yang 36 8 0 11 Nov 2022
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection Yixin Liu Kaize Ding Huan Liu Shirui Pan 77 59 0 08 Nov 2022
Unlearning Graph Classifiers with Limited Data Resources Chao Pan Eli Chien O. Milenkovic MU 57 34 0 06 Nov 2022
Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass Xin Huang Jongryool Kim Brad Rees Chul-Ho Lee GNN 31 4 0 06 Nov 2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis 45 8 0 04 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 101 62 0 01 Nov 2022
Generalized Laplacian Positional Encoding for Graph Representation Learning Sohir Maskey Alipanah Parviz Maximilian Thiessen Hannes Stärk Ylli Sadikaj Haggai Maron AI4CE 83 18 0 28 Oct 2022
Boosting the Cycle Counting Power of Graph Neural Networks with I $^2$ -GNNs Yinan Huang Xingang Peng Jianzhu Ma Muhan Zhang 114 48 0 22 Oct 2022
gSuite: A Flexible and Framework Independent Benchmark Suite for Graph Neural Network Inference on GPUs Taha Tekdogan Serkan Göktas Ayse Yilmazer-Metin 46 0 0 20 Oct 2022
A Practical, Progressively-Expressive GNN Lingxiao Zhao Louis Härtel Neil Shah Leman Akoglu 64 18 0 18 Oct 2022
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics S. Rizvi Akash Awasthi Maria J. Peláez Zhihui Wang V. Cristini Hien Nguyen P. Dogra 103 1 0 12 Oct 2022
IGNiteR: News Recommendation in Microblogging Applications (Extended Version) Yuting Feng Bogdan Cautis GNN AI4TS 71 3 0 04 Oct 2022
Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks Hyungeun Lee Kijung Yoon AI4CE 58 2 0 14 Sep 2022
Graph Neural Networks for Molecules Yuyang Wang Zijie Li A. Farimani GNN AI4CE 108 25 0 12 Sep 2022
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs Dongkwan Kim Jiho Jin Jaimeen Ahn Alice Oh 114 3 0 01 Sep 2022
Cadence Detection in Symbolic Classical Music using Graph Neural Networks E. Karystinaios Gerhard Widmer GNN 8 12 0 31 Aug 2022
MolGraph: a Python package for the implementation of molecular graphs and graph neural networks with TensorFlow and Keras Alexander Kensert G. Desmet D. Cabooter 36 5 0 21 Aug 2022
Graph Neural Network Based Node Deployment for Throughput Enhancement Yifei Yang Dongmian Zou Xiaofan He 62 5 0 19 Aug 2022
ROLAND: Graph Learning Framework for Dynamic Graphs Jiaxuan You Tianyu Du J. Leskovec AI4CE 73 179 0 15 Aug 2022
On the role of benchmarking data sets and simulations in method comparison studies Sarah Friedrich T. Friede 47 24 0 02 Aug 2022
Annealed Training for Combinatorial Optimization on Graphs Haoran Sun E. Guha H. Dai 63 21 0 23 Jul 2022
Towards Better Evaluation for Dynamic Link Prediction Farimah Poursafaei Shenyang Huang Kellin Pelrine Reihaneh Rabbany 66 104 0 20 Jul 2022
Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applications Ryien Hosseini F. Simini V. Vishwanath GNN 72 2 0 20 Jul 2022
Adaptive Graph Spatial-Temporal Transformer Network for Traffic Flow Forecasting Aosong Feng Leandros Tassiulas AI4TS 59 59 0 09 Jul 2022
Pure Transformers are Powerful Graph Learners Jinwoo Kim Tien Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee Honglak Lee Seunghoon Hong 88 200 0 06 Jul 2022
The Neural-Prediction based Acceleration Algorithm of Column Generation for Graph-Based Set Covering Problems Haofeng Yuan Peng Jiang Shiji Song 73 6 0 04 Jul 2022
Image Aesthetics Assessment Using Graph Attention Network Koustav Ghosal A. Smolic 91 5 0 26 Jun 2022
Ordered Subgraph Aggregation Networks Chao Qian Gaurav Rattan Floris Geerts Christopher Morris Mathias Niepert 79 58 0 22 Jun 2022
Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries Fabrizio Frasca Beatrice Bevilacqua Michael M. Bronstein Haggai Maron 73 132 0 22 Jun 2022
Agent-based Graph Neural Networks Karolis Martinkus Pál András Papp Benedikt Schesch Roger Wattenhofer LLMAG GNN 67 20 0 22 Jun 2022
Beyond Real-world Benchmark Datasets: An Empirical Study of Node Classification with GNNs Seiji Maekawa Koki Noda Yuya Sasaki Makoto Onizuka 77 21 0 18 Jun 2022
Long Range Graph Benchmark Vijay Prakash Dwivedi Ladislav Rampášek Mikhail Galkin Alipanah Parviz Guy Wolf Anh Tuan Luu Dominique Beaini 84 218 0 16 Jun 2022
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning Changhao Nai Xiang Wang An Zhang Y. Wu Xiangnan He Tat-Seng Chua 72 95 0 16 Jun 2022
Condensing Graphs via One-Step Gradient Matching Wei Jin Xianfeng Tang Haoming Jiang Zheng Li Danqing Zhang Jiliang Tang Bin Ying DD 91 111 0 15 Jun 2022
Taxonomy of Benchmarks in Graph Representation Learning Renming Liu Semih Cantürk Frederik Wenkel Sarah McGuire Devin Kreuzer ... Michael Perlmutter Bastian Rieck M. Hirn Guy Wolf Ladislav Rampášek OOD 57 15 0 15 Jun 2022
A Bird's-Eye Tutorial of Graph Attention Architectures Kaustubh D. Dhole Carl Yang 56 1 0 06 Jun 2022
Empowering GNNs via Edge-Aware Weisfeiler-Leman Algorithm Meng Liu Haiyang Yu Shuiwang Ji 56 1 0 04 Jun 2022
Neural Improvement Heuristics for Graph Combinatorial Optimization Problems Andoni I. Garmendia Josu Ceberio A. Mendiburu 94 4 0 01 Jun 2022
An Empirical Study of Retrieval-enhanced Graph Neural Networks Dingmin Wang Shengchao Liu Hanchen Wang Bernardo Cuenca Grau Linfeng Song Jian Tang Song Le Qi Liu 73 0 0 01 Jun 2022
Automatic Relation-aware Graph Network Proliferation Shaofei Cai Liang Li Xinzhe Han Jiebo Luo Zhengjun Zha Qingming Huang GNN 60 8 0 31 May 2022
Generalised Implicit Neural Representations Daniele Grattarola P. Vandergheynst 42 31 0 31 May 2022
The CLRS Algorithmic Reasoning Benchmark Petar Velivcković Adria Puigdomenech Badia David Budden Razvan Pascanu Andrea Banino Mikhail Dashevskiy R. Hadsell Charles Blundell 201 95 0 31 May 2022
Graph-level Neural Networks: Current Progress and Future Directions Ge Zhang Hongzhi Zhang Jian Yang Shan Xue Wenbin Hu Chuan Zhou Hao Peng Quan.Z Sheng Charu C. Aggarwal GNN AI4CE 88 0 0 31 May 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang Yingheng Wang Chaozhuo Li Huiguang He 67 32 0 28 May 2022
Your Transformer May Not be as Powerful as You Expect Shengjie Luo Shanda Li Shuxin Zheng Tie-Yan Liu Liwei Wang Di He 116 54 0 26 May 2022
How Powerful are K-hop Message Passing Graph Neural Networks Jiarui Feng Yixin Chen Fuhai Li Anindya Sarkar Muhan Zhang 51 108 0 26 May 2022