How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

International Conference on Learning Representations (ICLR), 2022

11 April 2022

Papers citing "How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision"

50 / 131 papers shown

Title
GFlowNets for Learning Better Drug-Drug Interaction Representations Azmine Toushik Wasi 98 0 0 07 Aug 2025
Efficient Mixed Precision Quantization in Graph Neural NetworksIEEE International Conference on Data Engineering (ICDE), 2025 Samir Moustafa Nils M. Kriege Wilfried Gansterer GNN MQ 209 2 0 14 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 608 0 0 29 Apr 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural NetworksInternational Conference on Learning Representations (ICLR), 2025 Taoran Fang Tianhong Gao Chunping Wang Yihao Shang Wei Chow Lei Chen Yang Yang 479 3 0 23 Jan 2025
Introduction to Graph Neural Networks: A Starting Point for Machine Learning Engineers James H. Tanis Chris Giannella Adrian V. Mariano AI4CE GNN FaML PINN 243 3 0 27 Dec 2024
Maps from Motion (MfM): Generating 2D Semantic Maps from Sparse Multi-view ImagesInternational Conference on 3D Vision (3DV), 2024 M. Toso Stefano Fiorini Stuart James Alessio Del Bue 241 0 0 19 Nov 2024
Fast and Robust Contextual Node Representation Learning over Dynamic Graphs Xingzhi Guo Silong Wang Baojian Zhou Yanghua Xiao Steven Skiena 182 1 0 11 Nov 2024
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural NetworksIEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2024 Jhony H. Giraldo Aref Einizade Andjela Todorovic Jhon A. Castro-Correa Mohsen Badiey T. Bouwmans Fragkiskos D. Malliaros 158 4 0 07 Nov 2024
Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi Andre' Panisson Megha Khosla 284 0 0 28 Oct 2024
On Your Mark, Get Set, Predict! Modeling Continuous-Time Dynamics of Cascades for Information Popularity PredictionIEEE Transactions on Knowledge and Data Engineering (TKDE), 2024 Xin Jing Yichen Jing Yuhuan Lu Bangchao Deng Sikun Yang Dingqi Yang 101 0 0 25 Sep 2024
Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysis Sakhinana Sagar Srinivas Geethan Sannidhi Sreeja Gangasani Chidaksh Ravuru Venkataramana Runkana 180 0 0 17 Sep 2024
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis Sakhinana Sagar Srinivas Chidaksh Ravuru Geethan Sannidhi Venkataramana Runkana 189 1 0 27 Aug 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph AnalysisAAAI Spring Symposia (SSS), 2024 Sakhinana Sagar Srinivas Geethan Sannidhi Venkataramana Runkana 221 1 0 27 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models Sakhinana Sagar Srinivas Geethan Sannidhi Venkataramana Runkana 202 0 0 24 Aug 2024
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models Sakhinana Sagar Srinivas Geethan Sannidhi Sreeja Gangasani Chidaksh Ravuru Venkataramana Runkana 224 0 0 24 Aug 2024
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption Sakhinana Sagar Srinivas Chidaksh Ravuru Geethan Sannidhi Venkataramana Runkana 109 0 0 23 Aug 2024
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation Ajay Chatterjee Srikanth Ranganathan 276 0 0 21 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes Sakhinana Sagar Srinivas Rajat Kumar Sarkar Sreeja Gangasani Venkataramana Runkana 219 2 0 21 Aug 2024
EMCNet : Graph-Nets for Electron Micrographs Classification Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 217 0 0 21 Aug 2024
Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimation Sakhinana Sagar Srinivas Rajat Kumar Sarkar Venkataramana Runkana 187 0 0 14 Aug 2024
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Sampling Shuqi He Jun Zhuang Ding Wang Jun Song AAML 133 0 0 13 Aug 2024
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech Khai-Nguyen Nguyen Quy-Anh Dang Tan-Hanh Pham Truong-Son Hy 264 0 0 08 Aug 2024
DiGRAF: Diffeomorphic Graph-Adaptive Activation Function Krishna Sri Ipsit Mantri Xinzhi Wang Carola-Bibiane Schönlieb Bruno Ribeiro Beatrice Bevilacqua Moshe Eliasof GNN 233 2 0 02 Jul 2024
NTFormer: A Composite Node Tokenized Graph Transformer for Node Classification Jinsong Chen Siyu Jiang Kun He 259 4 0 27 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 335 6 0 16 Jun 2024
GATE: How to Keep Out Intrusive Neighbors Nimrah Mustafa R. Burkholz 372 2 0 01 Jun 2024
Exploring Correlations of Self-Supervised Tasks for Graphs Taoran Fang Wei Zhou Yifei Sun Kaiqiao Han Lvbin Ma Yang Yang 340 8 0 07 May 2024
Community-Invariant Graph Contrastive LearningInternational Conference on Machine Learning (ICML), 2024 Shiyin Tan Dongyuan Li Xue Liu Ying Zhang Manabu Okumura OOD 192 12 0 02 May 2024
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph FilteringInternational Conference on Language Resources and Evaluation (LREC), 2024 Azmine Toushik Wasi Taki Hasan Rafi Raima Islam Dong-Kyu Chae 242 7 0 04 Apr 2024
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions Azmine Toushik Wasi Taki Hasan Rafi Raima Islam Serbetar Karlo Dong-Kyu Chae 210 1 0 25 Mar 2024
Layer-diverse Negative Sampling for Graph Neural Networks Wei Duan Jie Lu Yu Guang Wang Junyu Xuan 159 13 0 18 Mar 2024
Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research Tobias Hille Maximilian Stubbemann Tom Hanika AI4CE 184 0 0 13 Mar 2024
Self-Guided Robust Graph Structure Refinement Yeonjun In Kanghoon Yoon Kibum Kim Kijung Shin Chanyoung Park AAML 176 9 0 19 Feb 2024
Masked Graph Autoencoder with Non-discrete BandwidthsThe Web Conference (WWW), 2024 Zi-qiang Zhao Yuhua Li Yixiong Zou Jiliang Tang Ruixuan Li 162 18 0 06 Feb 2024
A Survey of Data-Efficient Graph Learning Wei Ju Siyu Yi Yifan Wang Qingqing Long Junyu Luo Zhiping Xiao Ming Zhang GNN 427 35 0 01 Feb 2024
Learning to Approximate Adaptive Kernel Convolution on GraphsAAAI Conference on Artificial Intelligence (AAAI), 2024 Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 153 4 0 22 Jan 2024
Degree-based stratification of nodes in Graph Neural NetworksAsian Conference on Machine Learning (ACML), 2023 Ameen Ali Hakan Çevikalp Lior Wolf 150 0 0 16 Dec 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 740 83 0 28 Nov 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li John E. Hopcroft Kun He SLR 225 6 0 17 Oct 2023
Are GATs Out of Balance?Neural Information Processing Systems (NeurIPS), 2023 Nimrah Mustafa Aleksandar Bojchevski R. Burkholz 294 8 0 11 Oct 2023
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter AugmentationsNeural Information Processing Systems (NeurIPS), 2023 C. Ekbote Ajinkya Deshpande Arun Shankar Iyer Ramakrishna Bairi Sundararajan Sellamanickam SSL 170 5 0 03 Oct 2023
Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active LearningInternational Conference on Information and Knowledge Management (CIKM), 2023 Tianmeng Yang Min Zhou Yujing Wang Zhe-Min Lin Lujia Pan Tengjiao Wang Yu Tong AAML 134 3 0 17 Aug 2023
Language is All a Graph NeedsFindings (Findings), 2023 Ruosong Ye Caiqi Zhang Runhui Wang Shuyuan Xu Zelong Li AI4CE 451 230 0 14 Aug 2023
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models Mustafa Yasir John Palowitch Anton Tsitsulin Long Tran-Thanh Bryan Perozzi 167 6 0 17 Jul 2023
Extended Graph Assessment Metrics for Graph Neural Networks Tamara T. Mueller Sophie Starck Leonhard F. Feiner Kyriaki-Margarita Bintsi Daniel Rueckert Georgios Kaissis 219 1 0 13 Jul 2023
Supervised Attention Using Homophily in Graph Neural NetworksInternational Conference on Artificial Neural Networks (ICANN), 2023 Michail Chatzianastasis Giannis Nikolentzos Michalis Vazirgiannis GNN 170 0 0 11 Jul 2023
Homological Neural Networks: A Sparse Architecture for Multivariate Complexity Yuanrong Wang Antonio Briola T. Aste 152 7 0 27 Jun 2023
Task-Driven Graph Attention for Hierarchical Relational Object NavigationIEEE International Conference on Robotics and Automation (ICRA), 2023 Michael Lingelbach Chengshu Li Minjune Hwang Andrey Kurenkov Alan Lou Roberto Martín-Martín Ruohan Zhang Li Fei-Fei Jiajun Wu 192 10 0 23 Jun 2023
Spatial Heterophily Aware Graph Neural NetworksKnowledge Discovery and Data Mining (KDD), 2023 Congxi Xiao Jingbo Zhou Jizhou Huang Tong Xu Hui Xiong 195 17 0 21 Jun 2023
Graph Self-Supervised Learning for Endoscopic Image MatchingACS/IEEE International Conference on Computer Systems and Applications (AICCSA), 2023 Manel Farhat A. Ben-Hamadou SSL 161 1 0 19 Jun 2023