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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
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 63 0 0 13 Dec 2023
SE(3)-Invariant Multiparameter Persistent Homology for Chiral-Sensitive Molecular Property Prediction Andac Demir Francis Prael B. Kiziltan 93 2 0 12 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 84 0 0 11 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo 83 3 0 11 Dec 2023
Improving Subgraph-GNNs via Edge-Level Ego-Network Encodings Nurudin Alvarez-Gonzalez Andreas Kaltenbrunner Vicencc Gómez 71 2 0 10 Dec 2023
Exploring Sparsity in Graph Transformers Chuang Liu Yibing Zhan Xueqi Ma Liang Ding Dapeng Tao Hongzhi Zhang Wenbin Hu Bo Du 94 7 0 09 Dec 2023
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 59 0 0 08 Dec 2023
StructComp: Substituting Propagation with Structural Compression in Training Graph Contrastive Learning Shengzhong Zhang Wenjie Yang Xinyuan Cao Hongwei Zhang Zengfeng Huang 96 2 0 08 Dec 2023
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction Yakun Wang Binbin Hu Shuo Yang Meiqi Zhu Qing Cui Qiyang Zhang Jun Zhou Guo Ye Huimei He 32 0 0 08 Dec 2023
The Graph Lottery Ticket Hypothesis: Finding Sparse, Informative Graph Structure Anton Tsitsulin Bryan Perozzi 56 6 0 08 Dec 2023
Efficient Large Language Models Fine-Tuning On Graphs Rui Xue Xipeng Shen Ruozhou Yu Xiaorui Liu 65 3 0 07 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 110 5 0 07 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Miao Hu Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 90 12 0 07 Dec 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion Weitao Du Jiujiu Chen Xuecang Zhang Zhiming Ma Shengchao Liu DiffM 80 9 0 06 Dec 2023
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets Jiale Yan Hiroaki Ito Ángel López García-Arias Yasuyuki Okoshi Hikari Otsuka Kazushi Kawamura Thiem Van Chu Masato Motomura 91 4 0 06 Dec 2023
Large Language Models on Graphs: A Comprehensive Survey Bowen Jin Gang Liu Chi Han Meng Jiang Heng Ji Jiawei Han AI4CE 117 161 0 05 Dec 2023
On the Initialization of Graph Neural Networks Jiahang Li Ya-Zhi Song Xiang Song David Wipf GNN 72 5 0 05 Dec 2023
Rethinking and Simplifying Bootstrapped Graph Latents Wangbin Sun Jintang Li Liang Chen Bingzhe Wu Yatao Bian Zibin Zheng 81 12 0 05 Dec 2023
Expressive Sign Equivariant Networks for Spectral Geometric Learning Derek Lim Joshua Robinson Stefanie Jegelka Haggai Maron 126 17 0 04 Dec 2023
Graph Coordinates and Conventional Neural Networks -- An Alternative for Graph Neural Networks Zheyi Qin Randy Paffenroth A. Jayasumana GNN 77 1 0 03 Dec 2023
Removing Biases from Molecular Representations via Information Maximization Chenyu Wang Sharut Gupta Caroline Uhler Tommi Jaakkola 78 5 0 01 Dec 2023
On the Adversarial Robustness of Graph Contrastive Learning Methods Filippo Guerranti Zinuo Yi Anna Starovoit Rafiq Kamel Simon Geisler Stephan Günnemann AAML 128 2 0 29 Nov 2023
Critical Influence of Overparameterization on Sharpness-aware Minimization Sungbin Shin Dongyeop Lee Maksym Andriushchenko Namhoon Lee AAML 162 2 0 29 Nov 2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning Jintang Li Jiawang Dan Ruofan Wu Jing Zhou Sheng Tian ... Changhua Meng Weiqiang Wang Yuchang Zhu Liang Chen Zibin Zheng AI4CE 83 0 0 28 Nov 2023
GGNNs : Generalizing GNNs using Residual Connections and Weighted Message Passing Abhinav Raghuvanshi K. Malleshappa AI4CE GNN 46 0 0 26 Nov 2023
Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning Yaqing Wang Zaifei Yang Quanming Yao 73 22 0 25 Nov 2023
Exploring Causal Learning through Graph Neural Networks: An In-depth Review Simi Job Xiaohui Tao Taotao Cai Haoran Xie Lin Li Jianming Yong Qing Li CML AI4CE 83 5 0 25 Nov 2023
Robust Graph Neural Networks via Unbiased Aggregation Ruiqi Feng Zhichao Hou Hanyu Wang Xiaorui Liu 88 0 0 25 Nov 2023
HongTu: Scalable Full-Graph GNN Training on Multiple GPUs (via communication-optimized CPU data offloading) Qiange Wang Yao Chen Weng-Fai Wong Bingsheng He GNN 56 11 0 25 Nov 2023
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs Shengyin Sun Yuxiang Ren Chen Ma Xuecang Zhang 241 24 0 24 Nov 2023
Complexity-Guided Curriculum Learning for Text Graphs Nidhi Vakil Hadi Amiri 82 3 0 22 Nov 2023
NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments Xin Ai Qiange Wang Chunyu Cao Yanfeng Zhang Chaoyi Chen Hao Yuan Yu Gu Ge Yu GNN 75 6 0 22 Nov 2023
Careful Selection and Thoughtful Discarding: Graph Explicit Pooling Utilizing Discarded Nodes Chuang Liu Wenhang Yu Kuang Gao Xueqi Ma Yibing Zhan Hongzhi Zhang Bo Du Wenbin Hu 56 0 0 21 Nov 2023
A Survey of Graph Meets Large Language Model: Progress and Future Directions Yuhan Li Zhixun Li Peisong Wang Jia Li Xiangguo Sun Hongtao Cheng Jeffrey Xu Yu 152 61 0 21 Nov 2023
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 71 1 0 20 Nov 2023
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks Abdalgader Abubaker Takanori Maehara M. Nimishakavi Vassilis Plachouras SSL 68 1 0 19 Nov 2023
A Computationally Efficient Sparsified Online Newton Method Fnu Devvrit Sai Surya Duvvuri Rohan Anil Vineet Gupta Cho-Jui Hsieh Inderjit Dhillon 53 0 0 16 Nov 2023
Distributed Constrained Combinatorial Optimization leveraging Hypergraph Neural Networks Nasimeh Heydaribeni Xinrui Zhan Ruisi Zhang Tina Eliassi-Rad F. Koushanfar AI4CE 101 11 0 15 Nov 2023
Higher-Order Expander Graph Propagation Thomas Christie Yu He 76 4 0 14 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 128 14 0 13 Nov 2023
GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters Jaeyong Song Hongsun Jang Jaewon Jung Youngsok Kim Jinho Lee GNN 75 2 0 12 Nov 2023
Open-Set Graph Anomaly Detection via Normal Structure Regularisation Qizhou Wang Guansong Pang Mahsa Salehi Wray Buntine Christopher Leckie 86 3 0 12 Nov 2023
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning Hao Xu Yifei Wang Yunrui Li Pengyu Hong Pengyu Hong 54 3 0 11 Nov 2023
Knowledge Graphs are not Created Equal: Exploring the Properties and Structure of Real KGs Nedelina Teneva Estevam R. Hruschka 66 1 0 10 Nov 2023
Greedy PIG: Adaptive Integrated Gradients Kyriakos Axiotis Sami Abu-El-Haija Lin Chen Matthew Fahrbach Gang Fu FAtt 67 0 0 10 Nov 2023
Going beyond persistent homology using persistent homology Johanna Immonen Amauri H. Souza Vikas Garg 84 13 0 10 Nov 2023
Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization Russell Hart Linlin Yu Yifei Lou Feng Chen UQCV 64 4 0 10 Nov 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 95 4 0 09 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 91 9 0 08 Nov 2023
Hybrid Focal and Full-Range Attention Based Graph Transformers Minhong Zhu Zhenhao Zhao Weiran Cai 77 0 0 08 Nov 2023