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Open Graph Benchmark: Datasets for Machine Learning on Graphs

2 May 2020

Yuxiao Dong

Papers citing "Open Graph Benchmark: Datasets for Machine Learning on Graphs"

50 / 1,644 papers shown

Title
Two Trades is not Baffled: Condensing Graph via Crafting Rational Gradient Matching Tianle Zhang Yuchen Zhang Kun Wang Kai Wang Beining Yang Kaipeng Zhang Wenqi Shao Ping Liu Qiufeng Wang Yang You DD 157 14 0 07 Feb 2024
Scalable Multi-view Clustering via Explicit Kernel Features Maps Chakib Fettal Lazhar Labiod M. Nadif 33 0 0 07 Feb 2024
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks Jiahua Rao Jiancong Xie Hanjing Lin Shuangjia Zheng Zhen Wang Yuedong Yang 75 1 0 07 Feb 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective Soo Yong Lee Sunwoo Kim Fanchen Bu Jaemin Yoo Jiliang Tang Kijung Shin 121 6 0 07 Feb 2024
Triplet Interaction Improves Graph Transformers: Accurate Molecular Graph Learning with Triplet Graph Transformers Md Shamim Hussain Mohammed J Zaki D. Subramanian ViT 122 8 0 07 Feb 2024
Masked Graph Autoencoder with Non-discrete Bandwidths Zi-qiang Zhao Yuhua Li Yixiong Zou Jiliang Tang Ruixuan Li 86 12 0 06 Feb 2024
Similarity-based Neighbor Selection for Graph LLMs Rui Li Jiwei Li Jiawei Han Guoyin Wang 60 5 0 06 Feb 2024
ARGO: An Auto-Tuning Runtime System for Scalable GNN Training on Multi-Core Processor Yi-Chien Lin Yuyang Chen Sameh Gobriel Nilesh Jain Gopi Krishna Jha Viktor Prasanna GNN 48 4 0 06 Feb 2024
PowerGraph: A power grid benchmark dataset for graph neural networks Anna Varbella Kenza Amara B. Gjorgiev Mennatallah El-Assady G. Sansavini 46 9 0 05 Feb 2024
EXGC: Bridging Efficiency and Explainability in Graph Condensation Sihang Li Xinglin Li Yongduo Sui Yuan Gao Guibin Zhang Kun Wang Xiang Wang Xiangnan He DD 119 21 0 05 Feb 2024
Future Directions in the Theory of Graph Machine Learning Christopher Morris Fabrizio Frasca Nadav Dym Haggai Maron .Ismail .Ilkan Ceylan Ron Levie Derek Lim Michael M. Bronstein Martin Grohe Stefanie Jegelka AI4CE 157 7 0 03 Feb 2024
Position: Graph Foundation Models are Already Here Haitao Mao Zhikai Chen Wenzhuo Tang Jianan Zhao Yao Ma Tong Zhao Neil Shah Mikhail Galkin Jiliang Tang AI4CE 141 44 0 03 Feb 2024
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting Xingtong Yu Yuan Fang Zemin Liu Yuxia Wu Zhihao Wen Jianyuan Bo Xinming Zhang Steven C. H. Hoi VLM 74 1 0 02 Feb 2024
TEDDY: Trimming Edges with Degree-based Discrimination strategY Hyunjin Seo Jihun Yun Eunho Yang 86 1 0 02 Feb 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness Guibin Zhang Xinfeng Li Kun Wang Sihang Li Yongduo Sui Kai Wang Yuxuan Liang Dawei Cheng Shirui Pan Tianlong Chen 66 11 0 02 Feb 2024
PF-GNN: Differentiable particle filtering based approximation of universal graph representations Mohammed Haroon Dupty Yanfei Dong W. Lee 75 13 0 31 Jan 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling Wei Ju Yiyang Gu Zhengyan Mao Ziyue Qiao Yifang Qin Xiao Luo Hui Xiong Ming Zhang SSL 91 10 0 29 Jan 2024
A Benchmark Dataset for Tornado Detection and Prediction using Full-Resolution Polarimetric Weather Radar Data Mark S. Veillette J. Kurdzo P. M. Stepanian John Y. N. Cho S. Samsi Joseph McDonald 39 0 0 26 Jan 2024
FedGT: Federated Node Classification with Scalable Graph Transformer Zaixin Zhang Qingyong Hu Yang Yu Weibo Gao Qi Liu FedML 82 4 0 26 Jan 2024
Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks Dai Shi Andi Han Lequan Lin Yi Guo Zhiyong Wang Junbin Gao 67 9 0 26 Jan 2024
Topology-aware Embedding Memory for Continual Learning on Expanding Networks Xikun Zhang Dongjin Song Yixin Chen Dacheng Tao 86 5 0 24 Jan 2024
Tensor-view Topological Graph Neural Network Tao Wen Elynn Chen Yuzhou Chen 127 10 0 22 Jan 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning Miao Hu Meihao Liao Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 89 8 0 22 Jan 2024
FedGTA: Topology-aware Averaging for Federated Graph Learning Miao Hu Zhengyu Wu Wentao Zhang Yinlin Zhu Ronghua Li Guoren Wang FedML 108 21 0 22 Jan 2024
Double-Bounded Optimal Transport for Advanced Clustering and Classification Liangliang Shi Zhaoqi Shen Junchi Yan OT 63 3 0 21 Jan 2024
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators Pratyush Dhingra Chukwufumnanya Ogbogu B. K. Joardar J. Doppa Anantharaman Kalyanaraman P. Pande 35 2 0 19 Jan 2024
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification Yutong Xia Runpeng Yu Yuxuan Liang Xavier Bresson Xinchao Wang Roger Zimmermann 95 4 0 18 Jan 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 255 7 0 18 Jan 2024
GNNShap: Scalable and Accurate GNN Explanation using Shapley Values Selahattin Akkas Ariful Azad FAtt 112 3 0 09 Jan 2024
Masked AutoEncoder for Graph Clustering without Pre-defined Cluster Number k Yuanchi Ma Hui He Zhongxiang Lei ZhenDong Niu 78 1 0 09 Jan 2024
Effective Benchmarks for Optical Turbulence Modeling Christopher Jellen Charles Nelson C. Brownell John Burkhardt 23 1 0 07 Jan 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs Zhongshu Zhu Bin Jing Xiaopei Wan Zhizhen Liu Lei Liang Jun Zhou 61 2 0 06 Jan 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 94 10 0 04 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 72 0 0 02 Jan 2024
Learning Scalable Structural Representations for Link Prediction with Bloom Signatures Tianyi Zhang Haoteng Yin Rongzhe Wei Pan Li Anshumali Shrivastava AI4CE 63 1 0 28 Dec 2023
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 216 10 0 27 Dec 2023
Olfactory Label Prediction on Aroma-Chemical Pairs Laura Sisson Aryan Amit Barsainyan Mrityunjay Sharma Ritesh Kumar 33 0 0 26 Dec 2023
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training Charles Dickens E-Wen Huang Aishwarya N. Reganti Jiong Zhu Karthik Subbian Danai Koutra 91 8 0 24 Dec 2023
PUMA: Efficient Continual Graph Learning for Node Classification with Graph Condensation Yilun Liu Ruihong Qiu Yanran Tang Hongzhi Yin Zi Huang 131 5 0 22 Dec 2023
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction) Qiaoyue Tang Frederick Shpilevskiy Mathias Lécuyer 73 17 0 21 Dec 2023
Molecular Hypergraph Neural Networks Junwu Chen Philippe Schwaller GNN 95 11 0 20 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 104 14 0 20 Dec 2023
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 158 3 0 19 Dec 2023
Learning to Reweight for Graph Neural Network Zhengyu Chen Teng Xiao Kun Kuang Zheqi Lv Min Zhang Jinluan Yang Chengqiang Lu Hongxia Yang Leilei Gan OOD 95 1 0 19 Dec 2023
Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and Perspectives Chen Gao Xiaochong Lan Nian Li Yuan Yuan Jingtao Ding Zhilun Zhou Fengli Xu Yong Li LLMAG AI4CE LM&Ro 108 133 0 19 Dec 2023
Graph Transformers for Large Graphs Vijay Prakash Dwivedi Yozen Liu Anh Tuan Luu Xavier Bresson Neil Shah Tong Zhao GNN 58 8 0 18 Dec 2023
Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization Tianrui Jia Haoyang Li Cheng Yang Tao Tao Chuan Shi OOD 93 22 0 18 Dec 2023
MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training Hongwu Peng Xi Xie Kaustubh Shivdikar Md Amit Hasan Jiahui Zhao Shaoyi Huang Omer Khan David Kaeli Caiwen Ding 92 39 0 14 Dec 2023
A Generalized Neural Diffusion Framework on Graphs Yibo Li Xiao Wang Hongrui Liu Chuan Shi DiffM AI4CE 121 19 0 14 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 109 9 0 13 Dec 2023