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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
Ranking over Regression for Bayesian Optimization and Molecule Selection Gary Tom Stanley Lo Samantha Corapi Alán Aspuru-Guzik Benjamín Sánchez-Lengeling BDL 75 1 0 11 Oct 2024
Predicting Drug Effects from High-Dimensional, Asymmetric Drug Datasets by Using Graph Neural Networks: A Comprehensive Analysis of Multitarget Drug Effect Prediction A. Bose Guojing Cong 34 0 0 11 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 180 0 0 11 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan Cuiping Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 60 0 0 11 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models Haoteng Yin Rongzhe Wei Eli Chien P. Li 99 1 0 10 Oct 2024
Collective variables of neural networks: empirical time evolution and scaling laws S. Tovey Sven Krippendorf M. Spannowsky Konstantin Nikolaou Christian Holm 51 0 0 09 Oct 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 65 1 0 09 Oct 2024
TCGU: Data-centric Graph Unlearning based on Transferable Condensation Fan Li Xiaoyang Wang Dawei Cheng Wenjie Zhang Ying Zhang Xuemin Lin MU 62 3 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 126 1 0 09 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen Jiadong Wang Han Liu Kyumin Lee Kaize Ding GNN 528 1 0 09 Oct 2024
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning Lequan Lin Dai Shi Andi Han Zhiyong Wang Junbin Gao 99 0 0 08 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 73 0 0 08 Oct 2024
FedGraph: A Research Library and Benchmark for Federated Graph Learning Yuhang Yao Yuan Li Xinyi Fan Junhao Li Kay Liu Weizhao Jin Yu Yang Srivatsan Ravi Philip S. Yu Carlee Joe-Wong FedML 198 0 0 08 Oct 2024
Enhancing Future Link Prediction in Quantum Computing Semantic Networks through LLM-Initiated Node Features Gilchan Park Paul Baity Byung-Jun Yoon Adolfy Hoisie 108 0 0 05 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 259 6 0 04 Oct 2024
SPHINX: Structural Prediction using Hypergraph Inference Network Iulia Duta Pietro Lio 97 2 0 04 Oct 2024
ClassContrast: Bridging the Spatial and Contextual Gaps for Node Representations Md Joshem Uddin Astrit Tola Varin Sikand Cüneyt Gürcan Akçora Baris Coskunuzer 74 1 0 03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 90 0 0 02 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning Astrit Tola Funmilola Mary Taiwo Cüneyt Gürcan Akçora Baris Coskunuzer 61 0 0 02 Oct 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 70 1 0 28 Sep 2024
Graph Edit Distance with General Costs Using Neural Set Divergence Eeshaan Jain Indradyumna Roy Saswat Meher Soumen Chakrabarti A. De 73 4 0 26 Sep 2024
On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks Jiong Zhu Gaotang Li Yao-An Yang Jing Zhu Xuehao Cui Danai Koutra 75 4 0 26 Sep 2024
Erase then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning Zhe-Rui Yang Jindong Han Chang-Dong Wang Hao Liu MU 46 2 0 25 Sep 2024
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale Zeyu Zhu Peisong Wang Qinghao Hu Gang Li Xiaoyao Liang Jian Cheng GNN 65 2 0 23 Sep 2024
Federated Graph Learning with Adaptive Importance-based Sampling Anran Li Yuanyuan Chen Chao Ren Wenhan Wang Ming Hu Tianlin Li Han Yu Qingyu Chen FedML 56 0 0 23 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features Gleb Bazhenov Oleg Platonov Liudmila Prokhorenkova LMTD 63 1 0 22 Sep 2024
When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning Naheed Anjum Arafat D. Basu Yulia R. Gel Yuzhou Chen AAML 460 1 0 21 Sep 2024
Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances Shuo Lu YingSheng Wang Lijun Sheng Lingxiao He A. Zheng Jian Liang OODD 179 7 0 18 Sep 2024
Deep Graph Anomaly Detection: A Survey and New Perspectives Hezhe Qiao Hanghang Tong Bo An Irwin King Charu Aggarwal Guansong Pang 85 8 0 16 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 80 3 0 15 Sep 2024
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings Yuhe Bai Camélia Constantin Hubert Naacke GNN 76 4 0 15 Sep 2024
Molecular Graph Representation Learning via Structural Similarity Information Chengyu Yao Hong Huang Hang Gao Fengge Wu Haiming Chen Junsuo Zhao 71 0 0 13 Sep 2024
An Efficient Privacy-aware Split Learning Framework for Satellite Communications Jianfei Sun Cong Wu Shahid Mumtaz Junyi Tao Mingsheng Cao Mei Wang Valerio Frascolla 79 5 0 13 Sep 2024
Transformers from Diffusion: A Unified Framework for Neural Message Passing Qitian Wu David Wipf Junchi Yan DiffM 133 1 0 13 Sep 2024
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs Davide Buffelli Farzin Soleymani Bastian Rieck GNN 54 1 0 12 Sep 2024
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs Hang Cui Tarek F. Abdelzaher 67 0 0 12 Sep 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoglu GNN 82 1 0 10 Sep 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting Lirong Wu Haitao Lin Guojiang Zhao Cheng Tan Stan Z. Li 107 0 0 09 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 124 0 0 06 Sep 2024
The Role of Graph Topology in the Performance of Biomedical Knowledge Graph Completion Models A. Cattaneo Stephen Bonner Thomas Martynec Carlo Luschi Ian P Barrett Daniel Justus 92 0 0 06 Sep 2024
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization Dingshuo Chen Zhixun Li Yuyan Ni Guibin Zhang Ding Wang Qiang Liu Shu Wu Jeffrey Xu Yu Liang Wang 94 5 0 02 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration Weijian Chen Shuibing He Haoyang Qu Xuechen Zhang GNN 70 0 0 01 Sep 2024
GSTAM: Efficient Graph Distillation with Structural Attention-Matching Arash Rasti-Meymandi A. Sajedi Zhaopan Xu Konstantinos N. Plataniotis 72 0 0 29 Aug 2024
SFR-GNN: Simple and Fast Robust GNNs against Structural Attacks Xing Ai Guanyu Zhu Yulin Zhu Yu Zheng Gaolei Li Jianhua Li Kai Zhou AAML 88 0 0 29 Aug 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Miao Hu Yinlin Zhu Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 111 0 0 29 Aug 2024
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration Runzhen Xue Yurui Lai Dengke Han Zhimin Tang Mingyu Yan Xiaochun Ye GNN 56 0 0 27 Aug 2024
Learning Tree-Structured Composition of Data Augmentation Dongyue Li Kailai Chen P. Radivojac Hongyang R. Zhang 120 1 0 26 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond Qingqing Long Yuchen Yan Peiyan Zhang Chen Fang Wentao Cui ... Shiyue Jiang Zheng Fang Chong Chen Xian-Sheng Hua Yuanchun Zhou AI4CE 87 1 0 26 Aug 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings Duo Wang Yuan Zuo Fengzhi Li Junjie Wu 73 19 0 25 Aug 2024
Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde Anastasis Kratsios Marc T. Law Xiaowen Dong Michael Bronstein CML 144 2 0 25 Aug 2024