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 / 1,610 papers shown

Title
GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models Zhixia He Chen Zhao Minglai Shao Yujie Lin Dong Li Q. Tian DiffM 43 4 0 23 Oct 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification Yihong Luo Yuhan Chen Siya Qiu Yiwei Wang Chen Zhang Yan Zhou Xiaochun Cao Jing Tang AAML 38 2 0 22 Oct 2024
Fastrack: Fast IO for Secure ML using GPU TEEs Yongqin Wang Rachit Rajat Jonghyun Lee Tingting Tang M. Annavaram 24 1 0 20 Oct 2024
Deep Equilibrium Algorithmic Reasoning Dobrik Georgiev JJ Wilson Davide Buffelli Pietro Lio 33 0 0 19 Oct 2024
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model Tianqianjin Lin Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Jun Lin Weikang Yuan Junjie Cao Changlong Sun Wei Lu AI4CE 45 0 0 19 Oct 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning Guibin Zhang Haonan Dong Yuchen Zhang Zhixun Li Dingshuo Chen Kai Wang Tianlong Chen Yuxuan Liang Dawei Cheng Kun Wang 37 4 0 17 Oct 2024
Knowledge-Aware Query Expansion with Large Language Models for Textual and Relational Retrieval Yu Xia Junda Wu Sungchul Kim Tong Yu Ryan A. Rossi Haoliang Wang Julian McAuley 40 4 0 17 Oct 2024
Loss Landscape Characterization of Neural Networks without Over-Parametrization Rustem Islamov Niccolò Ajroldi Antonio Orvieto Aurelien Lucchi 43 4 0 16 Oct 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach Chaoxi Niu Guansong Pang Ling-Hao Chen Bing Liu CLL 40 3 0 14 Oct 2024
GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Yun Zhu Haizhou Shi Xiaotang Wang Yongchao Liu Yaoke Wang Boci Peng Chuntao Hong Siliang Tang VLM 63 8 0 14 Oct 2024
SensorBench: Benchmarking LLMs in Coding-Based Sensor Processing Pengrui Quan Xiaomin Ouyang J. Jeyakumar Ziqi Wang Yang Xing Mani B. Srivastava 31 2 0 14 Oct 2024
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks Dingyi Zhuang Chonghe Jiang Yunhan Zheng Shenhao Wang Jinhua Zhao UQCV 39 0 0 12 Oct 2024
Ranking over Regression for Bayesian Optimization and Molecule Selection Gary Tom Stanley Lo Samantha Corapi Alán Aspuru-Guzik Benjamín Sánchez-Lengeling BDL 43 0 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 24 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 54 0 0 11 Oct 2024
When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning Hao Yan C. Li Zhigang Yu Jun Yin Ruochen Liu Peiyan Zhang Weihao Han Mingzheng Li Zhengxin Zeng 36 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 35 0 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 22 0 0 09 Oct 2024
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention Siyuan Huang Yunchong Song Jiayue Zhou Zhouhan Lin 35 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 33 2 0 09 Oct 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 54 1 0 09 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen Rongxiang Weng Han Liu Kyumin Lee Kaize Ding GNN 256 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 35 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 27 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 39 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 30 0 0 05 Oct 2024
SPHINX: Structural Prediction using Hypergraph Inference Network Iulia Duta Pietro Liò 52 2 0 04 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 42 6 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 34 1 0 03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 36 0 0 02 Oct 2024
TopER: Topological Embeddings in Graph Representation Learning Astrit Tola Funmilola Mary Taiwo Cüneyt Gürcan Akçora Baris Coskunuzer 38 0 0 02 Oct 2024
Sequential Signal Mixing Aggregation for Message Passing Graph Neural Networks Mitchell Keren Taraday Almog David Chaim Baskin 32 0 0 28 Sep 2024
Graph Edit Distance with General Costs Using Neural Set Divergence Eeshaan Jain Indradyumna Roy Saswat Meher Soumen Chakrabarti A. De 40 3 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 43 3 0 26 Sep 2024
Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs Pranav Maneriker Aditya T. Vadlamani Anutam Srinivasan Yuntian He Ali Payani Srinivasan Parthasarathy 31 0 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 29 1 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 34 1 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 21 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 31 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 217 0 0 21 Sep 2024
Recent Advances in OOD Detection: Problems and Approaches Shuo Lu YingSheng Wang Lijun Sheng Aihua Zheng Lingxiao He Jian Liang OODD 72 3 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 45 6 0 16 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 33 3 0 15 Sep 2024
Leiden-Fusion Partitioning Method for Effective Distributed Training of Graph Embeddings Yuhe Bai Camélia Constantin Hubert Naacke GNN 27 4 0 15 Sep 2024
Neural Message Passing Induced by Energy-Constrained Diffusion Qitian Wu David Wipf Junchi Yan DiffM 55 1 0 13 Sep 2024
Molecular Graph Representation Learning via Structural Similarity Information Chengyu Yao Hong Huang Hang Gao Fengge Wu Haiming Chen Junsuo Zhao 36 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 42 5 0 13 Sep 2024
CliquePH: Higher-Order Information for Graph Neural Networks through Persistent Homology on Clique Graphs Davide Buffelli Farzin Soleymani Bastian Alexander Rieck GNN 36 0 0 12 Sep 2024
Virtual Node Generation for Node Classification in Sparsely-Labeled Graphs Hang Cui Tarek F. Abdelzaher 32 0 0 12 Sep 2024
D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoglu GNN 36 1 0 10 Sep 2024