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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
Non-backtracking Graph Neural Networks Seonghyun Park Narae Ryu Ga-Rin Kim Dongyeop Woo Se-Young Yun SungSoo Ahn 84 4 0 11 Oct 2023
Atom-Motif Contrastive Transformer for Molecular Property Prediction Wentao Yu Shuo Chen Chen Gong Gang Niu Masashi Sugiyama ViT 73 2 0 11 Oct 2023
Exponential Quantum Communication Advantage in Distributed Inference and Learning H. Michaeli D. Gilboa Daniel Soudry Jarrod R. McClean FedML 34 1 0 11 Oct 2023
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach Kai Zhao Qiyu Kang Yang Song Rui She Sijie Wang Wee Peng Tay AAML 97 25 0 10 Oct 2023
Nonlinear Correct and Smooth for Semi-Supervised Learning Yuanhang Shao Xiuwen Liu 62 1 0 09 Oct 2023
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 104 37 0 08 Oct 2023
How Graph Neural Networks Learn: Lessons from Training Dynamics Chenxiao Yang Qitian Wu David Wipf Ruoyu Sun Junchi Yan AI4CE GNN 66 1 0 08 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 99 21 0 08 Oct 2023
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift Yihao Xue Siddharth Joshi Dang Nguyen Baharan Mirzasoleiman VLM 71 4 0 08 Oct 2023
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data Yuntong Hu Zhengwu Zhang Liang Zhao GNN 89 24 0 07 Oct 2023
Label-free Node Classification on Graphs with Large Language Models (LLMS) Zhikai Chen Haitao Mao Hongzhi Wen Haoyu Han Wei Jin Haiyang Zhang Hui Liu Jiliang Tang 105 86 0 07 Oct 2023
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance Yu Wang Tong Zhao Yuying Zhao Yunchao Liu Xueqi Cheng Neil Shah Hanyu Wang 81 10 0 06 Oct 2023
Latent Graph Inference with Limited Supervision Jianglin Lu Yi Tian Xu Huan Wang Yue Bai Yun Fu 75 5 0 06 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 120 25 0 06 Oct 2023
Fishnets: Information-Optimal, Scalable Aggregation for Sets and Graphs T. Lucas Makinen Justin Alsing Benjamin Dan Wandelt GNN FedML 65 3 0 05 Oct 2023
GRAPES: Learning to Sample Graphs for Scalable Graph Neural Networks Taraneh Younesian Daniel Daza Emile van Krieken Thiviyan Thanapalasingam Peter Bloem 59 6 0 05 Oct 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 64 6 0 05 Oct 2023
MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation Qian Huang Jian Vora Percy Liang J. Leskovec ELM LLMAG 79 96 0 05 Oct 2023
Fragment-based Pretraining and Finetuning on Molecular Graphs Kha-Dinh Luong Ambuj Singh AI4CE 75 12 0 05 Oct 2023
Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs Yijia Xiao Dylan Steinecke Alexander R. Pelletier Yushi Bai Peipei Ping Wei Wang 81 0 0 05 Oct 2023
Towards out-of-distribution generalizable predictions of chemical kinetics properties Zihao Wang Yongqiang Chen Yang Duan Weijiang Li Bo Han James Cheng Hanghang Tong OOD 88 6 0 04 Oct 2023
HoloNets: Spectral Convolutions do extend to Directed Graphs Christian Koke Zorah Lähner 106 11 0 03 Oct 2023
Probabilistically Rewired Message-Passing Neural Networks Chendi Qian Andrei Manolache Kareem Ahmed Zhe Zeng Guy Van den Broeck Mathias Niepert Christopher Morris 150 15 0 03 Oct 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations C. Ekbote Ajinkya Deshpande Arun Shankar Iyer Ramakrishna Bairi Sundararajan Sellamanickam SSL 77 5 0 03 Oct 2023
Transformers are efficient hierarchical chemical graph learners Zihan Pengmei Zimu Li Chih-chan Tien Risi Kondor Aaron R Dinner GNN 48 2 0 02 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks Christopher Blöcker Chester Tan Ingo Scholtes 95 1 0 02 Oct 2023
Helios: An Efficient Out-of-core GNN Training System on Terabyte-scale Graphs with In-memory Performance Jie Sun Mo Sun Zheng Zhang Jun Xie Zuocheng Shi Zihan Yang Jie Zhang Leilei Gan Zeke Wang GNN 60 5 0 02 Oct 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation Mingxuan Ju Tong Zhao Wenhao Yu Neil Shah Yanfang Ye 93 16 0 01 Oct 2023
Revisiting Link Prediction: A Data Perspective Haitao Mao Juanhui Li Harry Shomer Bingheng Li Wenqi Fan Yao Ma Tong Zhao Neil Shah Jiliang Tang 118 30 0 01 Oct 2023
ResolvNet: A Graph Convolutional Network with multi-scale Consistency Christian Koke Abhishek Saroha Yuesong Shen Marvin Eisenberger Zorah Lähner GNN 59 1 0 30 Sep 2023
DURENDAL: Graph deep learning framework for temporal heterogeneous networks Manuel Dileo Matteo Zignani S. Gaito 128 1 0 30 Sep 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 109 132 0 29 Sep 2023
Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks Yanqiao Zhu Jeehyun Hwang Keir Adams Zhen Liu B. Nan ... Olaf Wiest Olexandr Isayev Connor W. Coley Yizhou Sun Wei Wang 80 7 0 29 Sep 2023
MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data Tianyu Liu Yuge Wang Rex Ying Hongyu Zhao 119 15 0 29 Sep 2023
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why? Jin Huang Xingjian Zhang Qiaozhu Mei Jiaqi Ma 87 15 0 28 Sep 2023
Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs Satvik Garg Anh Nguyen Somya Garg 83 2 0 28 Sep 2023
Distill to Delete: Unlearning in Graph Networks with Knowledge Distillation Yash Sinha Murari Mandal Mohan S. Kankanhalli MU 97 11 0 28 Sep 2023
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis Chen Zhao Zehao Dong Yixin Chen Xuan Zhang Roger D. Chamberlain GNN 80 2 0 27 Sep 2023
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias Zhihao Shi Jie Wang Fanghua Lu Hanzhu Chen Defu Lian Zheng Wang Jieping Ye Feng Wu AI4CE 89 6 0 26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 178 15 0 25 Sep 2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes Yiming Huang Yujie Zeng Qiang Wu Linyuan Lu 74 19 0 22 Sep 2023
On Separate Normalization in Self-supervised Transformers Xiaohui Chen Yinkai Wang Yuanqi Du S. Hassoun Liping Liu ViT 68 2 0 22 Sep 2023
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance Minimization Sebastian Eliassen Raghavendra Selvan GNN 100 4 0 21 Sep 2023
Article Classification with Graph Neural Networks and Multigraphs Khang Ly Yury Kashnitsky Savvas Chamezopoulos Valeria Krzhizhanovskaya 62 0 0 20 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 102 20 0 20 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks Hao Liu Jiarui Feng Lecheng Kong Dacheng Tao Yixin Chen Muhan Zhang OffRL 70 5 0 19 Sep 2023
Deep Prompt Tuning for Graph Transformers Reza Shirkavand Heng-Chiao Huang 57 7 0 18 Sep 2023
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks Qiying Pan Ruofan Wu Tengfei Liu Tianyi Zhang Yifei Zhu Weiqiang Wang FedML 108 9 0 18 Sep 2023
CaT: Balanced Continual Graph Learning with Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 110 42 0 18 Sep 2023
Recovering Missing Node Features with Local Structure-based Embeddings Victor M. Tenorio Madeline Navarro Santiago Segarra Antonio G. Marques 74 5 0 16 Sep 2023