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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
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems Shiqing Liu Xueming Yan Yaochu Jin 81 8 0 10 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 87 24 0 06 Oct 2023
On the Stability of Expressive Positional Encodings for Graphs Yinan Huang William Lu Joshua Robinson Yu Yang Muhan Zhang Stefanie Jegelka Pan Li 80 13 0 04 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 108 14 0 03 Oct 2023
Locality-Aware Graph-Rewiring in GNNs Federico Barbero A. Velingker Amin Saberi Michael M. Bronstein Francesco Di Giovanni 86 32 0 02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 61 1 0 02 Oct 2023
Are Graph Neural Networks Optimal Approximation Algorithms? Morris Yau Eric Lu Nikolaos Karalias Jessica Xu Stefanie Jegelka 61 2 0 01 Oct 2023
One for All: Towards Training One Graph Model for All Classification Tasks Hao Liu Jiarui Feng Lecheng Kong Ningyue Liang Dacheng Tao Yixin Chen Muhan Zhang AI4CE 87 132 0 29 Sep 2023
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis Chen Zhao Zehao Dong Yixin Chen Xuan Zhang Roger D. Chamberlain GNN 74 2 0 27 Sep 2023
Benchmarking Encoder-Decoder Architectures for Biplanar X-ray to 3D Shape Reconstruction M. Shakya Bishesh Khanal 58 1 0 24 Sep 2023
On Separate Normalization in Self-supervised Transformers Xiaohui Chen Yinkai Wang Yuanqi Du S. Hassoun Liping Liu ViT 51 2 0 22 Sep 2023
A Comprehensive Review of Community Detection in Graphs Jiakang Li Songlai Ning Zhihao Shuai Yuan Tan Yifan Jia ... Yongxin Ni Haifeng Qiu Jiayu Yang Y. Lu Yonggang Lu GNN 60 23 0 21 Sep 2023
Towards Data-centric Graph Machine Learning: Review and Outlook Xin Zheng Yixin Liu Zhifeng Bao Meng Fang Xia Hu Alan Wee-Chung Liew Shirui Pan GNN AI4CE 81 20 0 20 Sep 2023
Distance-Restricted Folklore Weisfeiler-Leman GNNs with Provable Cycle Counting Power Junru Zhou Jiarui Feng Xiyuan Wang Muhan Zhang 67 9 0 10 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 75 1 0 01 Sep 2023
Geometry-aware Line Graph Transformer Pre-training for Molecular Property Prediction Peizhen Bai Xianyuan Liu Haiping Lu ViT AI4CE 62 2 0 01 Sep 2023
Where Did the Gap Go? Reassessing the Long-Range Graph Benchmark Jan Tönshoff Martin Ritzert Eran Rosenbluth Martin Grohe 81 54 0 01 Sep 2023
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts Si-Yu Yi Zhengyan Mao Wei Ju Yong-Dao Zhou Luchen Liu Xiao Luo Ming Zhang 66 7 0 31 Aug 2023
Structural Node Embeddings with Homomorphism Counts Hinrikus Wolf Luca Oeljeklaus Pascal Kuhner Martin Grohe 60 3 0 29 Aug 2023
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding Yuan Luo Hongkang Li Lei Shi Xiao-Ming Wu 67 8 0 22 Aug 2023
Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images Tze Ho Elden Tse Franziska Mueller Zhengyang Shen Danhang Tang Thabo Beeler ... Yinda Zhang S. Petrovic H. Chang Jonathan Taylor Bardia Doosti 66 7 0 21 Aug 2023
Investigating the Interplay between Features and Structures in Graph Learning Daniele Castellana Federico Errica 89 4 0 18 Aug 2023
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design Shuwen Lu Zhihui Zhang Cong Guo Jingwen Leng Yangjie Zhou Minyi Guo GNN 36 1 0 16 Aug 2023
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification Zhengyan Mao Wei Ju Yifang Qin Xiao Luo Ming Zhang 84 16 0 04 Aug 2023
Collaborative Graph Neural Networks for Attributed Network Embedding Qiaoyu Tan Xin Zhang Xiao Shi Huang Haojun Chen Jundong Li Helen Zhou 132 11 0 22 Jul 2023
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning Boshen Shi Yongqing Wang Fangda Guo Jiangli Shao Huawei Shen Xueqi Cheng OOD AI4CE 39 6 0 21 Jul 2023
Disentangling Node Attributes from Graph Topology for Improved Generalizability in Link Prediction Ayan Chatterjee Robin Walters G. Menichetti Tina Eliassi-Rad AI4CE 49 2 0 17 Jul 2023
Graph Positional and Structural Encoder Semih Cantürk Renming Liu Olivier Lapointe-Gagné Vincent Létourneau Guy Wolf Dominique Beaini Ladislav Rampášek 73 18 0 14 Jul 2023
Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test Arjun Subramonian Adina Williams Maximilian Nickel Yizhou Sun Levent Sagun 58 0 0 11 Jul 2023
Contrastive Graph Pooling for Explainable Classification of Brain Networks Jiaxing Xu Qingtian Bian Xinhang Li Aihu Zhang Yiping Ke Miao Qiao Wei Zhang Wei Khang Jeremy Sim Balázs Gulyás 60 3 0 07 Jul 2023
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale Tong Nie Guoyang Qin Lijun Sun Wei Ma Yuewen Mei Jiangming Sun AI4TS 61 3 0 04 Jul 2023
PlanE: Representation Learning over Planar Graphs Radoslav Dimitrov Zeyang Zhao Ralph Abboud .Ismail .Ilkan Ceylan GNN 64 10 0 03 Jul 2023
Graphtester: Exploring Theoretical Boundaries of GNNs on Graph Datasets Eren Akbiyik Florian Grötschla Béni Egressy Roger Wattenhofer 31 2 0 30 Jun 2023
Anomaly Detection in Networks via Score-Based Generative Models Dmitrii Gavrilev Evgeny Burnaev 48 3 0 27 Jun 2023
Generalised f-Mean Aggregation for Graph Neural Networks Ryan Kortvelesy Steven D. Morad Amanda Prorok FedML AI4CE 46 4 0 24 Jun 2023
Neural Algorithmic Reasoning Without Intermediate Supervision Gleb Rodionov Liudmila Prokhorenkova OffRL LRM OOD 91 12 0 23 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 90 11 0 22 Jun 2023
P-tensors: a General Formalism for Constructing Higher Order Message Passing Networks Tianyi Sun Andrew R. Hands Risi Kondor 53 2 0 19 Jun 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li Harry Shomer Haitao Mao Shenglai Zeng Yao Ma Neil Shah Jiliang Tang Dawei Yin 139 58 0 18 Jun 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning Zhiyao Zhou Sheng Zhou Bochao Mao Xu Zhou Jiawei Chen Qiaoyu Tan Daochen Zha Yan Feng Chun-Yen Chen C. Wang 105 24 0 17 Jun 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen Rentian Yao Yun Yang Jie Chen 67 8 0 15 Jun 2023
A Simple and Scalable Graph Neural Network for Large Directed Graphs Seiji Maekawa Yuya Sasaki Makoto Onizuka GNN 63 0 0 14 Jun 2023
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching Xuanzhou Liu Lin Zhang Jiaqi Sun Yujiu Yang Haiqing Yang 51 2 0 10 Jun 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks Gaspard Michel Giannis Nikolentzos J. Lutzeyer Michalis Vazirgiannis GNN 88 31 0 09 Jun 2023
CrysMMNet: Multimodal Representation for Crystal Property Prediction Kishalay Das Pawan Goyal Seung-Cheol Lee S. Bhattacharjee Niloy Ganguly 34 13 0 09 Jun 2023
How does over-squashing affect the power of GNNs? Francesco Di Giovanni T. Konstantin Rusch Michael M. Bronstein Andreea Deac Marc Lackenby Siddhartha Mishra Petar Velivcković 92 38 0 06 Jun 2023
CIN++: Enhancing Topological Message Passing Lorenzo Giusti Teodora Reu Francesco Ceccarelli Cristian Bodnar Pietro Lio GNN 86 10 0 06 Jun 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman Jiarui Feng Lecheng Kong Hao Liu Dacheng Tao Fuhai Li Muhan Zhang Yixin Chen 106 11 0 05 Jun 2023
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim Tien Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong 82 23 0 05 Jun 2023
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 111 15 0 31 May 2023