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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
Towards Semi-supervised Universal Graph Classification Xiao Luo Yusheng Zhao Yifang Qin Wei Ju Ming Zhang 79 32 0 31 May 2023
Graph Inductive Biases in Transformers without Message Passing Liheng Ma Chen Lin Derek Lim Adriana Romero Soriano P. Dokania Mark Coates Philip Torr Ser-Nam Lim AI4CE 78 102 0 27 May 2023
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs Yangjie Zhou Yaoxu Song Jingwen Leng Zihan Liu Weihao Cui Zhendong Zhang Cong Guo Quan Chen Li-Wei Li Minyi Guo GNN 73 2 0 27 May 2023
Union Subgraph Neural Networks Jiaxing Xu Aihu Zhang Qingtian Bian Vijay Prakash Dwivedi Yiping Ke GNN 67 6 0 25 May 2023
Manifold Diffusion Fields Ahmed A. A. Elhag Yuyang Wang J. Susskind Miguel Angel Bautista DiffM AI4CE 55 6 0 24 May 2023
On Structural Expressive Power of Graph Transformers Wenhao Zhu Tianyu Wen Guojie Song Liangji Wang Bo Zheng 63 15 0 23 May 2023
Learning Large Graph Property Prediction via Graph Segment Training Kaidi Cao P. Phothilimthana Sami Abu-El-Haija Dustin Zelle Yanqi Zhou Charith Mendis J. Leskovec Bryan Perozzi 43 9 0 21 May 2023
Graph Propagation Transformer for Graph Representation Learning Zhe Chen Hao Hao Tan Tao Wang Tianrun Shen Tong Lu Qiuying Peng Cheng Cheng Yue Qi 60 13 0 19 May 2023
DRew: Dynamically Rewired Message Passing with Delay Benjamin Gutteridge Xiaowen Dong Michael M. Bronstein Francesco Di Giovanni 75 67 0 13 May 2023
Feature Expansion for Graph Neural Networks Jiaqi Sun Lin Zhang Guan-Hong Chen Kun Zhang Peng Xu Yujiu Yang GNN 44 13 0 10 May 2023
Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering Mingqi Yang Wenjie Feng Yanming Shen Bryan Hooi 100 5 0 10 May 2023
Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection Will Leeney Ryan McConville 59 4 0 10 May 2023
From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks Cai Zhou Xiyuan Wang Muhan Zhang 55 15 0 08 May 2023
Beyond Prediction: On-street Parking Recommendation using Heterogeneous Graph-based List-wise Ranking Hanyu Sun Xiao Shi Huang Wei-Ying Ma AI4TS 101 1 0 29 Apr 2023
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem E. Karystinaios Francesco Foscarin Gerhard Widmer 86 8 0 28 Apr 2023
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities Yongcheng Jing Xinchao Wang Dacheng Tao 93 22 0 23 Apr 2023
Self-Attention in Colors: Another Take on Encoding Graph Structure in Transformers Romain Menegaux Emmanuel Jehanno Margot Selosse Julien Mairal 40 7 0 21 Apr 2023
What Do GNNs Actually Learn? Towards Understanding their Representations Giannis Nikolentzos Michail Chatzianastasis Michalis Vazirgiannis GNN AI4CE 48 1 0 21 Apr 2023
Dynamic Graph Representation Learning with Neural Networks: A Survey Leshanshui Yang Sébastien Adam Clément Chatelain AI4TS AI4CE 67 17 0 12 Apr 2023
The expressive power of pooling in Graph Neural Networks F. Bianchi Veronica Lachi 41 33 0 04 Apr 2023
Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks Arindam Chowdhury Gunjan Verma A. Swami Santiago Segarra 66 13 0 02 Apr 2023
An Efficient Subgraph GNN with Provable Substructure Counting Power Zuoyu Yan Junru Zhou Liangcai Gao Zhi Tang Muhan Zhang GNN 57 13 0 19 Mar 2023
Exphormer: Sparse Transformers for Graphs Hamed Shirzad A. Velingker B. Venkatachalam Danica J. Sutherland A. Sinop 58 117 0 10 Mar 2023
Graph Positional Encoding via Random Feature Propagation Moshe Eliasof Fabrizio Frasca Beatrice Bevilacqua Eran Treister Gal Chechik Haggai Maron 89 20 0 06 Mar 2023
Calibrating Transformers via Sparse Gaussian Processes Wenlong Chen Yingzhen Li UQCV 102 12 0 04 Mar 2023
Graph-level representations using ensemble-based readout functions Jakub Binkowski Albert Sawczyn Denis Janiak Piotr Bielak Tomasz Kajdanowicz 45 3 0 03 Mar 2023
ESceme: Vision-and-Language Navigation with Episodic Scene Memory Qinjie Zheng Daqing Liu Chaoyue Wang Jing Zhang Dadong Wang Dacheng Tao LM&Ro 63 5 0 02 Mar 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 125 88 0 02 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 78 3 0 01 Mar 2023
Are More Layers Beneficial to Graph Transformers? Haiteng Zhao Shuming Ma Dongdong Zhang Zhi-Hong Deng Furu Wei 54 14 0 01 Mar 2023
Equivariant Polynomials for Graph Neural Networks Omri Puny Derek Lim B. Kiani Haggai Maron Y. Lipman 71 33 0 22 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 129 2 0 17 Feb 2023
Multiresolution Graph Transformers and Wavelet Positional Encoding for Learning Hierarchical Structures Nhat-Khang Ngô Truong-Son Hy Risi Kondor ViT AI4CE 67 2 0 17 Feb 2023
Self-supervised Guided Hypergraph Feature Propagation for Semi-supervised Classification with Missing Node Features Chengxiang Lei Sichao Fu Yuetian Wang Wen-Qiang Qiu Yachen Hu Qinmu Peng Xinge You 54 3 0 16 Feb 2023
Attending to Graph Transformers Luis Muller Mikhail Galkin Christopher Morris Ladislav Rampášek 95 93 0 08 Feb 2023
Taming Local Effects in Graph-based Spatiotemporal Forecasting Andrea Cini Ivan Marisca Daniele Zambon Cesare Alippi AI4TS 63 36 0 08 Feb 2023
Revisit the Algorithm Selection Problem for TSP with Spatial Information Enhanced Graph Neural Networks Yaobo Song Laurens Bliek Yingqian Zhang 68 1 0 08 Feb 2023
Spectral Augmentations for Graph Contrastive Learning Amur Ghose Yingxue Zhang Jianye Hao Mark Coates 71 9 0 06 Feb 2023
$$\rm A^2Q$: Aggregation-Aware Quantization for Graph Neural Networks$ $\rm A^2Q$ : Aggregation-Aware Quantization for Graph Neural Networks Zeyu Zhu Fanrong Li Zitao Mo Qinghao Hu Gang Li Zejian Liu Xiaoyao Liang Jian Cheng GNN MQ 65 4 0 01 Feb 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration Xiangyu Zhao Hannes Stärk Dominique Beaini Yiren Zhao Pietro Lio 60 0 0 27 Jan 2023
Event Detection in Football using Graph Convolutional Networks A. Rana GNN 54 1 0 24 Jan 2023
On the Expressive Power of Geometric Graph Neural Networks Chaitanya K. Joshi Cristian Bodnar Simon Mathis Taco Cohen Pietro Liò 102 91 0 23 Jan 2023
Spatial Attention Kinetic Networks with E(n)-Equivariance Yuanqing Wang J. Chodera 62 17 0 21 Jan 2023
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction Jiawei Jiang Chengkai Han Wayne Xin Zhao Jingyuan Wang AI4TS 93 267 0 19 Jan 2023
State of the Art and Potentialities of Graph-level Learning Zhenyu Yang Ge Zhang Hongzhi Zhang Jian Yang Quan.Z Sheng ... Charu C. Aggarwal Hao Peng Wenbin Hu Edwin R. Hancock Pietro Lio GNN AI4CE 99 14 0 14 Jan 2023
A Generalization of ViT/MLP-Mixer to Graphs Xiaoxin He Bryan Hooi T. Laurent Adam Perold Yann LeCun Xavier Bresson 88 98 0 27 Dec 2022
A Retrieve-and-Read Framework for Knowledge Graph Link Prediction Vardaan Pahuja Boshi Wang Hugo Latapie Jayanth Srinivasa Yu-Chuan Su 63 13 0 19 Dec 2022
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 75 15 0 16 Dec 2022
Bridging Graph Position Encodings for Transformers with Weighted Graph-Walking Automata Patrick M. Soga David Chiang 118 0 0 13 Dec 2022
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma Xingjian Zhang Hezheng Fan Jin Huang Tianyue Li Tinghong Li Yiwen Tu Chen Zhu Qiaozhu Mei 100 5 0 08 Dec 2022