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"

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Title
Differential Encoding for Improved Representation Learning over Graphs Haimin Zhang Jiahao Xia Min Xu 52 0 0 03 Jul 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 49 1 0 02 Jul 2024
On the Expressive Power of Sparse Geometric MPNNs Yonatan Sverdlov Nadav Dym 53 1 0 02 Jul 2024
Revisiting Random Walks for Learning on Graphs Jinwoo Kim Olga Zaghen Ayhan Suleymanzade Youngmin Ryou Seunghoon Hong 71 0 0 01 Jul 2024
Graph in Graph Neural Network Jiongshu Wang Jing Yang Jiankang Deng Hatice Gunes Siyang Song GNN 32 1 0 30 Jun 2024
Knowledge-Aware Parsimony Learning: A Perspective from Relational Graphs Quanming Yao Yongqi Zhang Yaqing Wang Nan Yin James Kwok Qiang Yang 37 0 0 29 Jun 2024
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification Tianjun Yao Jiaqi Sun Defu Cao Kun Zhang Guangyi Chen 43 5 0 28 Jun 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 49 5 0 27 Jun 2024
Fast Optimizer Benchmark Simon Blauth Tobias Bürger Zacharias Häringer Jörg Franke Frank Hutter 50 0 0 26 Jun 2024
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning Roman Bresson Giannis Nikolentzos G. Panagopoulos Michail Chatzianastasis Jun Pang Michalis Vazirgiannis 78 44 0 26 Jun 2024
GraphSnapShot: Caching Local Structure for Fast Graph Learning Dong Liu R. Waleffe Meng Jiang Shivaram Venkataraman GNN 3DH 31 0 0 25 Jun 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen Shengjie Luo Di He Shuxin Zheng Tie-Yan Liu Liwei Wang AI4CE 49 5 0 24 Jun 2024
Next Level Message-Passing with Hierarchical Support Graphs Carlos Vonessen Florian Grötschla Roger Wattenhofer 52 1 0 22 Jun 2024
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 31 21 0 21 Jun 2024
Graph Edge Representation via Tensor Product Graph Convolutional Representation Bo Jiang Sheng Ge Ziyan Zhang Beibei Wang Jin Tang Bin Luo GNN 43 0 0 21 Jun 2024
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark Yili Wang Yixin Liu Xu Shen Chenyu Li Kaize Ding Rui Miao Ying Wang Shirui Pan Xin Wang 47 8 0 21 Jun 2024
TAGLAS: An atlas of text-attributed graph datasets in the era of large graph and language models Jiarui Feng Hao Liu Lecheng Kong Yixin Chen Muhan Zhang 45 2 0 20 Jun 2024
Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective Yunfei Liu Jintang Li Yuehe Chen Ruofan Wu Ericbk Wang ... Shuheng Shen Xing Fu Changhua Meng Weiqiang Wang Liang Chen 35 9 0 20 Jun 2024
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training Qisheng Jiang Lei Jia Chundong Wang GNN 26 1 0 20 Jun 2024
Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers Harald Semmelrock Tony Ross-Hellauer Simone Kopeinik Dieter Theiler Armin Haberl Stefan Thalmann Dominik Kowald 65 7 0 20 Jun 2024
A Pure Transformer Pretraining Framework on Text-attributed Graphs Yu Song Haitao Mao Jiachen Xiao Jingzhe Liu Zhikai Chen Wei Jin Carl Yang Jiliang Tang Hui Liu AI4CE 60 4 0 19 Jun 2024
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling Zhong Guan Hongke Zhao Likang Wu Ming He Jianpin Fan 40 3 0 19 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Tengjiao Wang AAML 60 3 0 19 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 51 2 0 18 Jun 2024
Bridging Local Details and Global Context in Text-Attributed Graphs Yaoke Wang Yun Zhu Wenqiao Zhang Yueting Zhuang Yunfei Li Siliang Tang 41 6 0 18 Jun 2024
A data-centric approach for assessing progress of Graph Neural Networks Tianqi Zhao Ngan Thi Dong Alan Hanjalic Megha Khosla 32 0 0 18 Jun 2024
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 50 1 0 17 Jun 2024
Learning Molecular Representation in a Cell Gang Liu Srijit Seal John Arevalo Zhenwen Liang Anne E Carpenter Meng Jiang Shantanu Singh 42 2 0 17 Jun 2024
UniGLM: Training One Unified Language Model for Text-Attributed Graphs Yi Fang Dongzhe Fan Sirui Ding Ninghao Liu Qiaoyu Tan VLM 42 3 0 17 Jun 2024
GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models Yi Fang Dongzhe Fan Daochen Zha Qiaoyu Tan 55 10 0 17 Jun 2024
Graph Knowledge Distillation to Mixture of Experts Pavel Rumiantsev Mark Coates 28 0 0 17 Jun 2024
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights Zhikai Chen Haitao Mao Jingzhe Liu Yu Song Bingheng Li ... Bahare Fatemi Anton Tsitsulin Bryan Perozzi Hui Liu Jiliang Tang 47 10 0 15 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 34 0 0 14 Jun 2024
Dataset Condensation with Latent Quantile Matching Wei Wei Tom De Schepper Kevin Mets DD 34 2 0 14 Jun 2024
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li Zixing Gou Xiangnan Zhang Zhongyuan Liu Sirui Li Yuntong Hu Chen Ling Zheng Zhang Liang Zhao 44 6 0 14 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 42 2 0 14 Jun 2024
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs J. Gastinger Shenyang Huang Mikhail Galkin Erfan Loghmani Ali Parviz ... Emanuele Rossi Ioannis Koutis Heiner Stuckenschmidt Reihaneh Rabbany Guillaume Rabusseau 48 7 0 14 Jun 2024
Automated Molecular Concept Generation and Labeling with Large Language Models Shichang Zhang Botao Xia Zimin Zhang Qianli Wu Fang Sun Ziniu Hu Yizhou Sun 48 0 0 13 Jun 2024
A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening Guy Bar-Shalom Yam Eitan Fabrizio Frasca Haggai Maron 43 1 0 13 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen Siyu Heng Xiao Luo 58 1 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 39 19 0 13 Jun 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models Shichang Zhang Da Zheng Jiani Zhang Qi Zhu Xiang Song Soji Adeshina Christos Faloutsos George Karypis Yizhou Sun VLM 31 1 0 13 Jun 2024
$MOTI$\mathcal{VE}$: A Drug-Target Interaction Graph For Inductive Link Prediction$ MOTI $\mathcal{VE}$ : A Drug-Target Interaction Graph For Inductive Link Prediction John Arevalo Ellen Su Anne E Carpenter Shantanu Singh 32 2 0 12 Jun 2024
GraphFM: A Comprehensive Benchmark for Graph Foundation Model Yuhao Xu Xinqi Liu Keyu Duan Yi Fang Yu-Neng Chuang Daochen Zha Qiaoyu Tan AI4CE 37 1 0 12 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 54 5 0 12 Jun 2024
Graph Transductive Defense: a Two-Stage Defense for Graph Membership Inference Attacks Peizhi Niu Chao Pan Siheng Chen Olgica Milenkovic AAML 35 0 0 12 Jun 2024
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 53 1 0 11 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 49 7 0 09 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 46 2 0 08 Jun 2024
ProG: A Graph Prompt Learning Benchmark Chenyi Zi Haihong Zhao Xiangguo Sun Yiqing Lin Hong Cheng Jia Li 64 10 0 08 Jun 2024