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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
Graph Adversarial Diffusion Convolution Songtao Liu Jinghui Chen Tianfan Fu Lu Lin Marinka Zitnik Dinghao Wu DiffM 97 1 0 04 Jun 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding Hongkang Li Meng Wang Tengfei Ma Sijia Liu Zaixi Zhang Pin-Yu Chen MLT AI4CE 129 11 0 04 Jun 2024
Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models Wenzhuo Tang Haitao Mao Danial Dervovic Ivan Brugere Saumitra Mishra Yuying Xie Jiliang Tang 69 3 0 04 Jun 2024
The Intelligible and Effective Graph Neural Additive Networks Maya Bechler-Speicher Amir Globerson Ran Gilad-Bachrach 84 7 0 03 Jun 2024
State Space Models on Temporal Graphs: A First-Principles Study Jintang Li Ruofan Wu Xinzhou Jin Boqun Ma Liang Chen Zibin Zheng 116 6 0 03 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 113 0 0 02 Jun 2024
Anomaly Detection in Dynamic Graphs: A Comprehensive Survey Ocheme Anthony Ekle William Eberle AI4TS 100 11 0 31 May 2024
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof Derek Lim Moe Putterman Robin Walters Haggai Maron Stefanie Jegelka 122 9 0 30 May 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning Yuhao Wu Jiangchao Yao Bo Han Lina Yao Tongliang Liu 124 3 0 30 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 143 2 0 30 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 121 9 0 29 May 2024
Node Injection Attack Based on Label Propagation Against Graph Neural Network Peican Zhu Zechen Pan Keke Tang Xiaodong Cui Jinhuan Wang Qi Xuan AAML 79 3 0 29 May 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models Hyunjin Seo Taewon Kim J. Yang Eunho Yang 136 0 0 28 May 2024
Graph Coarsening with Message-Passing Guarantees Antonin Joly Nicolas Keriven 66 2 0 28 May 2024
Calibrated Dataset Condensation for Faster Hyperparameter Search Mucong Ding Yuancheng Xu Tahseen Rabbani Xiaoyu Liu Brian J Gravelle Teresa M. Ranadive Tai-Ching Tuan Furong Huang DD 77 0 0 27 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 118 4 0 27 May 2024
Graph Condensation for Open-World Graph Learning Xin Gao Tong Chen Wentao Zhang Yayong Li Xiangguo Sun Hongzhi Yin 128 8 0 27 May 2024
Scorch: A Library for Sparse Deep Learning Bobby Yan Alexander J. Root Trevor Gale David Broman Fredrik Kjolstad 78 1 0 27 May 2024
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations Zhengwu Zhang Yuntong Hu Bo Pan Chen Ling Liang Zhao 114 3 0 27 May 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level Runlin Lei Yuwei Hu Yuchen Ren Zhewei Wei 96 3 0 26 May 2024
FedSheafHN: Personalized Federated Learning on Graph-structured Data Wenfei Liang Yanan Zhao Rui She Yiming Li Wee Peng Tay FedML 96 1 0 25 May 2024
The Road Less Scheduled Aaron Defazio Xingyu Yang Yang Harsh Mehta Konstantin Mishchenko Ahmed Khaled Ashok Cutkosky 120 60 0 24 May 2024
Rethinking Independent Cross-Entropy Loss For Graph-Structured Data Rui Miao Kaixiong Zhou Yili Wang Ninghao Liu Ying Wang Xin Wang 104 5 0 24 May 2024
CowScreeningDB: A public benchmark dataset for lameness detection in dairy cows Shahid Ismail Moisés Díaz Cristina Carmona-Duarte Jose Manuel Vilar M. A. Ferrer-Ballester 27 2 0 24 May 2024
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning Zhuo Xu Lu Bai Lixin Cui Ming Li Yue Wang Edwin R. Hancock GNN 57 1 0 23 May 2024
AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation Weigang Lu Ziyu Guan Wei Zhao Yaming Yang 73 4 0 23 May 2024
Graph Sparsification via Mixture of Graphs Guibin Zhang Xiangguo Sun Xinfeng Li Kun Wang Tianlong Chen Shirui Pan 74 9 0 23 May 2024
GCondenser: Benchmarking Graph Condensation Yilun Liu Ruihong Qiu Zi Huang DD 87 8 0 23 May 2024
Attending to Topological Spaces: The Cellular Transformer Rubén Ballester Pablo Hernández-García Mathilde Papillon Claudio Battiloro Nina Miolane Tolga Birdal Carles Casacuberta Sergio Escalera Mustafa Hajij 102 5 0 23 May 2024
HeteGraph-Mamba: Heterogeneous Graph Learning via Selective State Space Model Zhenyu Pan Yoonsung Jeong Xiaoda Liu Han Liu 83 1 0 22 May 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 145 8 0 22 May 2024
Understanding Virtual Nodes: Oversquashing and Node Heterogeneity Joshua Southern Francesco Di Giovanni Michael M. Bronstein J. Lutzeyer 154 1 0 22 May 2024
Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks Dominik Köhler Stefan Heindorf 139 1 0 21 May 2024
How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing Keke Huang Yu Guang Wang Ming Li Pietro Lio 125 30 0 21 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery Cencheng Shen Jonathan Larson Ha Trinh Carey E. Priebe 92 2 0 21 May 2024
Distinguished In Uniform: Self Attention Vs. Virtual Nodes Eran Rosenbluth Jan Tönshoff Martin Ritzert Berke Kisin Martin Grohe 76 12 0 20 May 2024
Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective Zhiwei Zhang Min Lin Enyan Dai Suhang Wang AAML 64 16 0 17 May 2024
Could Chemical LLMs benefit from Message Passing Jiaqing Xie Ziheng Chi 54 0 0 14 May 2024
A Survey of Large Language Models for Graphs Xubin Ren Jiabin Tang Dawei Yin Nitesh Chawla Chao Huang 99 47 0 10 May 2024
SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation Learning Jiying Zhang Zijing Liu Yu Wang Yu-Feng Li DiffM 83 1 0 09 May 2024
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training Renjie Liu Yichuan Wang Xiao Yan Zhenkun Cai Minjie Wang Haitian Jiang Bo Tang Jinyang Li GNN 125 3 0 08 May 2024
Conditional Local Feature Encoding for Graph Neural Networks Yongze Wang Haimin Zhang Qiang Wu Min Xu AI4CE GNN 80 1 0 08 May 2024
Exploring Correlations of Self-Supervised Tasks for Graphs Taoran Fang Wei Zhou Yifei Sun Kaiqiao Han Lvbin Ma Yang Yang 88 7 0 07 May 2024
Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships Qi Zou Na Yu Daoliang Zhang Wei Zhang Rui Gao AI4CE 83 1 0 07 May 2024
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers Wenhao Zhu Guojie Song Liangji Wang Shaoguo Liu 85 0 0 06 May 2024
E2GNN: Efficient Graph Neural Network Ensembles for Semi-Supervised Classification Xin Zhang Daochen Zha Qiaoyu Tan 105 1 0 06 May 2024
Graph as Point Set Xiyuan Wang Pan Li Muhan Zhang GNN 3DPC PINN 87 4 0 05 May 2024
Community-Invariant Graph Contrastive Learning Shiyin Tan Dongyuan Li Xue Liu Ying Zhang Manabu Okumura OOD 102 4 0 02 May 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors Shenghe Zheng Hongzhi Wang Xianglong Liu 113 3 0 02 May 2024
The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset Claudio Bellei Muhua Xu Ross Phillips Tom Robinson Mark Weber Tim Kaler C. E. Leiserson Arvind Jie Chen 101 3 0 29 Apr 2024