Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods

27 October 2021

Ser-Nam Lim

Papers citing "Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods"

50 / 216 papers shown

Title
Learning a Mini-batch Graph Transformer via Two-stage Interaction Augmentation Wenda Li Kaixuan Chen Shunyu Liu Tongya Zheng Wenjie Huang Mingli Song 33 0 0 13 Jul 2024
What Is Missing In Homophily? Disentangling Graph Homophily For Graph Neural Networks Yilun Zheng Sitao Luan Lihui Chen 37 5 0 27 Jun 2024
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs Kun Wang Guibin Zhang Xinnan Zhang Junfeng Fang Xun Wu Guohao Li Shirui Pan Wei-Ming Huang Yuxuan Liang 24 4 0 18 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 26 2 0 16 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 21 0 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 34 2 0 14 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 27 15 0 13 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Yurui Lai Xiaoyang Lin Renchi Yang Hongtao Wang 39 2 0 08 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 33 5 0 05 Jun 2024
Learning Long Range Dependencies on Graphs via Random Walks Dexiong Chen Till Hendrik Schulz Karsten Borgwardt 24 2 0 05 Jun 2024
Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters Y. Lin Ronen Talmon Ron Levie 34 0 0 03 Jun 2024
Learning on Large Graphs using Intersecting Communities Ben Finkelshtein .Ismail .Ilkan Ceylan Michael M. Bronstein Ron Levie GNN 30 5 0 31 May 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang Sunwoo Kim Kijung Shin Zenglin Xu Shirui Pan Yuan Qi 37 3 0 31 May 2024
Heterophilous Distribution Propagation for Graph Neural Networks Zhuonan Zheng Sheng Zhou Hongjia Xu Ming Gu Yilun Xu Ao Li Yuhong Li Jingjun Gu Jiajun Bu 51 0 0 31 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 45 8 0 29 May 2024
HeNCler: Node Clustering in Heterophilous Graphs through Learned Asymmetric Similarity Sonny Achten F. Tonin V. Cevher Johan A. K. Suykens 45 0 0 27 May 2024
Differentiable Cluster Graph Neural Network Yanfei Dong Mohammed Haroon Dupty Lambert Deng Zhuanghua Liu Yong Liang Goh Wee Sun Lee GNN 34 1 0 25 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 26 2 0 24 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 27 3 0 22 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 Lió 35 17 0 21 May 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang Kai Zhao Qinxu Ding Feng Ji Xuhao Li Wenfei Liang Yang Song Wee Peng Tay 41 8 0 26 Apr 2024
Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Jinke Shi Yao Ma Haishuai Wang Jiajun Bu 24 1 0 25 Apr 2024
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis Haodong Wen Bodong Du Ruixun Liu Deyu Meng Xiangyong Cao 34 0 0 16 Apr 2024
Temporal Generalization Estimation in Evolving Graphs Bin Lu Tingyan Ma Xiaoying Gan Xinbing Wang Yunqiang Zhu Cheng Zhou Shiyu Liang 27 1 0 07 Apr 2024
Spectral GNN via Two-dimensional (2-D) Graph Convolution Guoming Li Jian Yang Shangsong Liang Dongsheng Luo GNN 30 2 0 06 Apr 2024
A (More) Realistic Evaluation Setup for Generalisation of Community Models on Malicious Content Detection Ivo Verhoeven Pushkar Mishra Rahel Beloch H. Yannakoudakis Ekaterina Shutova 19 0 0 02 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 31 2 0 29 Mar 2024
Learn from Heterophily: Heterophilous Information-enhanced Graph Neural Network Yilun Zheng Jiahao Xu Lihui Chen 34 2 0 26 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 26 19 0 24 Mar 2024
Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach Keke Huang Wencai Cao Hoang Ta Xiaokui Xiao Pietro Lió 38 3 0 12 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 27 5 0 06 Mar 2024
Provable Filter for Real-world Graph Clustering Xuanting Xie Erlin Pan Zhao Kang Wenyu Chen Bingheng Li GNN 39 2 0 06 Mar 2024
Polynormer: Polynomial-Expressive Graph Transformer in Linear Time Chenhui Deng Zichao Yue Zhiru Zhang 88 23 0 02 Mar 2024
Expressive Higher-Order Link Prediction through Hypergraph Symmetry Breaking Simon Zhang Cheng Xin Tamal K. Dey 35 1 0 17 Feb 2024
NetInfoF Framework: Measuring and Exploiting Network Usable Information Meng-Chieh Lee Haiyang Yu Jian Zhang V. Ioannidis Xiang Song Soji Adeshina Da Zheng Christos Faloutsos 14 1 0 12 Feb 2024
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective Soo Yong Lee Sunwoo Kim Fanchen Bu Jaemin Yoo Jiliang Tang Kijung Shin 40 6 0 07 Feb 2024
Position: Graph Foundation Models are Already Here Haitao Mao Zhikai Chen Wenzhuo Tang Jianan Zhao Yao Ma Tong Zhao Neil Shah Mikhail Galkin Jiliang Tang AI4CE 46 25 0 03 Feb 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 36 7 0 22 Jan 2024
On The Temporal Domain of Differential Equation Inspired Graph Neural Networks Moshe Eliasof E. Haber Eran Treister Carola-Bibiane Schönlieb AI4CE 19 2 0 20 Jan 2024
Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering Jingwei Guo Kaizhu Huang Xinping Yi Zixian Su Rui Zhang 24 3 0 17 Jan 2024
PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering Bingheng Li Erlin Pan Zhao Kang 14 30 0 22 Dec 2023
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning Xiaolong Fan Maoguo Gong Yue Wu Zedong Tang Jie Liu 25 0 0 15 Dec 2023
Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection Yuan-Qi Bei Sheng Zhou Qiaoyu Tan Hao Xu Hao Chen Zhao Li Jiajun Bu 24 15 0 09 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 27 12 0 07 Dec 2023
An Effective Universal Polynomial Basis for Spectral Graph Neural Networks Keke Huang Pietro Lió 16 1 0 30 Nov 2023
Content Augmented Graph Neural Networks Fatemeh Gholamzadeh Nasrabadi AmirHossein Kashani Pegah Zahedi M. H. Chehreghani 11 2 0 21 Nov 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 23 3 0 09 Nov 2023
Resist Label Noise with PGM for Graph Neural Networks Qingqing Ge Jianxiang Yu Zeyuan Zhao Xiang Li NoLa AAML 15 0 0 03 Nov 2023
A Metadata-Driven Approach to Understand Graph Neural Networks Tinghong Li Qiaozhu Mei Jiaqi Ma AI4CE 16 5 0 30 Oct 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 22 31 0 29 Oct 2023