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
SpecSphere: Dual-Pass Spectral-Spatial Graph Neural Networks with Certified Robustness Y. Choi Chong-Kwon Kim 24 0 0 13 May 2025
Understanding GNNs and Homophily in Dynamic Node Classification Michael Ito Danai Koutra Jenna Wiens 85 1 0 29 Apr 2025
Learning Laplacian Positional Encodings for Heterophilous Graphs Michael Ito Jiong Zhu Dexiong Chen Danai Koutra Jenna Wiens 95 1 0 29 Apr 2025
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 0 0 28 Apr 2025
Active Few-Shot Learning for Vertex Classification Starting from an Unlabeled Dataset Felix Burr Marcel Hoffmann A. Scherp SSL 109 0 0 25 Apr 2025
Efficient Learning on Large Graphs using a Densifying Regularity Lemma Jonathan Kouchly Ben Finkelshtein M. Bronstein Ron Levie 39 0 0 25 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors Jielong Lu Zhihao Wu Zhiling Cai Yueyang Pi Shiping Wang GNN 49 0 0 18 Apr 2025
Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Zichao Yue Chenhui Deng Zhiru Zhang AI4CE 27 0 0 17 Apr 2025
Learning to quantify graph nodes A. Micheli Alejandro Moreo Marco Podda Fabrizio Sebastiani William Simoni Domenico Tortorella 56 0 0 19 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs Shujie Li Yuxia Wu Chuan Shi Yuan Fang 39 0 0 05 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 37 0 0 01 Mar 2025
No Metric to Rule Them All: Toward Principled Evaluations of Graph-Learning Datasets Corinna Coupette Jeremy Wayland Emily Simons Bastian Alexander Rieck 76 1 0 04 Feb 2025
Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment Shuo Wang Bokui Wang Zhixiang Shen Boyan Deng Zhao Kang 90 1 0 04 Feb 2025
DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach Qin Chen Liang Wang Bo Zheng Guojie Song 36 2 0 28 Jan 2025
Large-Scale Spectral Graph Neural Networks via Laplacian Sparsification: Technical Report Haipeng Ding Zhewei Wei Yuhang Ye 31 0 0 08 Jan 2025
Humans as a Calibration Pattern: Dynamic 3D Scene Reconstruction from Unsynchronized and Uncalibrated Videos Changwoon Choi Jeongjun Kim Geonho Cha Minkwan Kim Dongyoon Wee Young Min Kim 3DH 42 0 0 26 Dec 2024
THeGCN: Temporal Heterophilic Graph Convolutional Network Yuchen Yan Yuzhong Chen Huiyuan Chen Xiaoting Li Zhe Xu Zhichen Zeng Lihui Liu Zhining Liu Hanghang Tong 82 0 0 21 Dec 2024
Asymmetric Learning for Spectral Graph Neural Networks Fangbing Liu Qing Wang 78 0 0 16 Dec 2024
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model Yujun Li Hongyuan Zhang Yuan Yuan 70 0 0 15 Dec 2024
Mixture of Experts for Node Classification Yu Shi Yiqi Wang WeiXuan Lang Jiaxin Zhang Pan Dong Aiping Li 121 0 0 30 Nov 2024
Rewiring Techniques to Mitigate Oversquashing and Oversmoothing in GNNs: A Survey Hugo Attali Davide Buscaldi Nathalie Pernelle AI4CE 64 1 0 26 Nov 2024
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers Guoguo Ai Guansong Pang Hezhe Qiao Yuan Gao Hui Yan 67 0 0 26 Nov 2024
Even Sparser Graph Transformers Hamed Shirzad Honghao Lin B. Venkatachalam A. Velingker David P. Woodruff Danica J. Sutherland GNN 91 3 0 25 Nov 2024
Heterophilic Graph Neural Networks Optimization with Causal Message-passing Botao Wang Jia Li Heng Chang K. Zhang Fugee Tsung 70 2 0 21 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 71 0 0 19 Nov 2024
Rethinking Node Representation Interpretation through Relation Coherence Ying-Chun Lin Jennifer Neville Cassiano Becker Purvanshi Metha Nabiha Asghar Vipul Agarwal 21 0 0 01 Nov 2024
Towards Dynamic Message Passing on Graphs Junshu Sun Chenxue Yang Xiangyang Ji Qingming Huang Shuhui Wang 30 0 0 31 Oct 2024
Slot: Provenance-Driven APT Detection through Graph Reinforcement Learning Wei Qiao Yebo Feng Teng Li Zijian Zhang Zhengzi Xu Zhuo Ma Yulong Shen 30 0 0 23 Oct 2024
Rethinking Graph Transformer Architecture Design for Node Classification Jiajun Zhou Xuanze Chen Chenxuan Xie Yu Shanqing Qi Xuan Xiaoniu Yang 21 0 0 15 Oct 2024
Unveiling the Impact of Local Homophily on GNN Fairness: In-Depth Analysis and New Benchmarks Donald Loveland Danai Koutra 33 1 0 05 Oct 2024
SiMilarity-Enhanced Homophily for Multi-View Heterophilous Graph Clustering Jianpeng Chen Yawen Ling Yazhou Ren Zichen Wen Tianyi Wu Shufei Zhang Lifang He 24 0 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 24 1 0 03 Oct 2024
PROXI: Challenging the GNNs for Link Prediction Astrit Tola Jack Myrick Baris Coskunuzer 29 0 0 02 Oct 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 21 3 0 26 Sep 2024
Preventing Representational Rank Collapse in MPNNs by Splitting the Computational Graph Andreas Roth Franka Bause Nils M. Kriege Thomas Liebig 33 2 0 17 Sep 2024
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learning Qincheng Lu Jiaqi Zhu Sitao Luan Xiao-Wen Chang 28 2 0 15 Sep 2024
Redesigning graph filter-based GNNs to relax the homophily assumption Samuel Rey Madeline Navarro Victor M. Tenorio Santiago Segarra Antonio G. Marques 20 1 0 13 Sep 2024
Learning Personalized Scoping for Graph Neural Networks under Heterophily Gangda Deng Hongkuan Zhou R. Kannan Viktor Prasanna 31 0 0 11 Sep 2024
Are Heterophily-Specific GNNs and Homophily Metrics Really Effective? Evaluation Pitfalls and New Benchmarks Sitao Luan Qincheng Lu Chenqing Hua X. Wang Jiaqi Zhu Xiao-Wen Chang Guy Wolf Jian Tang 57 2 0 09 Sep 2024
Self-Directed Learning of Convex Labelings on Graphs Georgy Sokolov Maximilian Thiessen Margarita Akhmejanova Fabio Vitale Francesco Orabona 24 0 0 02 Sep 2024
OpenFGL: A Comprehensive Benchmark for Federated Graph Learning Xunkai Li Y. X. Zhu Boyang Pang Guochen Yan Yeyu Yan Zening Li Zhengyu Wu Wentao Zhang Rong-Hua Li Guoren Wang FedML 28 0 0 29 Aug 2024
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation Ajay Chatterjee Srikanth Ranganathan 20 0 0 21 Aug 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 51 1 0 18 Aug 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 33 0 0 13 Aug 2024
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks Yoonhyuk Choi Jiho Choi Taewook Ko Chong-Kwon Kim 41 0 0 09 Aug 2024
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data Hanyang Yuan Jiarong Xu Cong Wang Ziqi Yang Chunping Wang Keting Yin Yang Yang 21 5 0 26 Jul 2024
Scalable Graph Compressed Convolutions Junshu Sun Chen Yang Shuhui Wang Qingming Huang GNN 31 0 0 26 Jul 2024
HC-GST: Heterophily-aware Distribution Consistency based Graph Self-training Fali Wang Tianxiang Zhao Junjie Xu Suhang Wang 30 1 0 25 Jul 2024
PolyFormer: Scalable Node-wise Filters via Polynomial Graph Transformer Jiahong Ma Mingguo He Zhewei Wei 38 2 0 19 Jul 2024
When Heterophily Meets Heterogeneity: New Graph Benchmarks and Effective Methods Junhong Lin Xiaojie Guo Shuaicheng Zhang Dawei Zhou Yada Zhu Julian Shun 33 1 0 15 Jul 2024