v1v2v3v4v5v6v7 (latest)

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
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity Mucong Ding Tahseen Rabbani Bang An Evan Z Wang Furong Huang 89 22 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 98 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 129 11 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 60 3 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 88 10 0 20 Jun 2024
Reducing Memory Contention and I/O Congestion for Disk-based GNN Training Qisheng Jiang Lei Jia Chundong Wang GNN 103 2 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 156 10 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 94 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 89 3 0 19 Jun 2024
RobGC: Towards Robust Graph Condensation Xinyi Gao Hongzhi Yin Tong Chen Guanhua Ye Wentao Zhang Tengjiao Wang AAML 146 3 0 19 Jun 2024
Demystifying Higher-Order Graph Neural Networks Maciej Besta Florian Scheidl Lukas Gianinazzi S. Klaiman Jürgen Müller Torsten Hoefler 101 3 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 103 7 0 18 Jun 2024
A data-centric approach for assessing progress of Graph Neural Networks Tianqi Zhao Ngan Thi Dong Alan Hanjalic Megha Khosla 39 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 90 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 106 4 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 118 5 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 113 12 0 17 Jun 2024
Graph Knowledge Distillation to Mixture of Experts Pavel Rumiantsev Mark Coates 84 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 106 18 0 15 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 113 0 0 14 Jun 2024
Dataset Condensation with Latent Quantile Matching Wei Wei Tom De Schepper Kevin Mets DD 81 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 97 7 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 108 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 77 9 0 14 Jun 2024
Robustness Inspired Graph Backdoor Defense Zhiwei Zhang Minhua Lin Junjie Xu Zongyu Wu Enyan Dai Suhang Wang AAML 53 1 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 76 0 0 13 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen Siyu Heng Xiao Luo 102 1 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 92 32 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 92 1 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 126 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 65 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 57 1 0 12 Jun 2024
How Interpretable Are Interpretable Graph Neural Networks? Yongqiang Chen Yatao Bian Bo Han James Cheng 90 7 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 114 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 70 2 0 11 Jun 2024
What Can We Learn from State Space Models for Machine Learning on Graphs? Yinan Huang Siqi Miao Pan Li 90 8 0 09 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 134 2 0 08 Jun 2024
ProG: A Graph Prompt Learning Benchmark Chenyi Zi Haihong Zhao Xiangguo Sun Yiqing Lin Hong Cheng Jia Li 134 13 0 08 Jun 2024
Learning Divergence Fields for Shift-Robust Graph Representations Qitian Wu Fan Nie Chenxiao Yang Junchi Yan OOD 95 1 0 07 Jun 2024
GENIE: Watermarking Graph Neural Networks for Link Prediction Venkata Sai Pranav Bachina Ankit Gangwal Aaryan Ajay Sharma Charu Sharma 145 2 0 07 Jun 2024
LinkGPT: Teaching Large Language Models To Predict Missing Links Zhongmou He Jing Zhu Shengyi Qian Joyce Chai Danai Koutra LRM 79 2 0 07 Jun 2024
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning Zheng Huang Qihui Yang Dawei Zhou Yujun Yan AI4CE 136 4 0 07 Jun 2024
From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning Moritz Lampert Christopher Blöcker Ingo Scholtes 83 1 0 07 Jun 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 115 1 0 06 Jun 2024
Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach Haoyu Han Juanhui Li Wei Huang Xianfeng Tang Hanqing Lu Chen Luo Hui Liu Jiliang Tang 125 8 0 05 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen Till Hendrik Schulz Karsten Borgwardt 86 6 0 05 Jun 2024
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment Zhenyu Hou Haozhan Li Yukuo Cen Jie Tang Yuxiao Dong 90 8 0 05 Jun 2024
Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs Michael Scholkemper Xinyi Wu Ali Jadbabaie Michael T. Schaub 221 9 0 05 Jun 2024
Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance Roya Aliakbarisani Robert Jankowski M. Á. Serrano Marián Boguná 82 0 0 04 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification Simon Zhang Soham Mukherjee T. Dey 147 11 0 04 Jun 2024