Large-Scale Representation Learning on Graphs via Bootstrapping

12 February 2021

Papers citing "Large-Scale Representation Learning on Graphs via Bootstrapping"

50 / 132 papers shown

Title
TimeDRL: Disentangled Representation Learning for Multivariate Time-Series Ching Chang Chiao-Tung Chan Wei-Yao Wang Wenjie Peng Tien-Fu Chen AI4TS 23 2 0 07 Dec 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 20 0 0 21 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning Xiaojun Guo Yifei Wang Zeming Wei Yisen Wang 33 11 0 05 Nov 2023
$Generating QM1B with PySCF$_{\text{IPU}}$$ Generating QM1B with PySCF $_{\text{IPU}}$ Alexander Mathiasen Hatem Helal Kerstin Klaser Paul Balanca Josef Dean Carlo Luschi Dominique Beaini Andrew Fitzgibbon Dominic Masters 25 1 0 02 Nov 2023
Simple and Asymmetric Graph Contrastive Learning without Augmentations Teng Xiao Huaisheng Zhu Zhengyu Chen Suhang Wang 22 31 0 29 Oct 2023
Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings Yi Ren Samuel Lavoie Mikhail Galkin Danica J. Sutherland Aaron Courville 35 15 0 28 Oct 2023
Balancing Augmentation with Edge-Utility Filter for Signed GNNs Ke-Jia Chen Yaming Ji Youran Qu Chuhan Xu 26 0 0 25 Oct 2023
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules Zhiyuan Liu Yaorui Shi An Zhang Enzhi Zhang Kenji Kawaguchi Xiang Wang Tat-Seng Chua AI4CE 31 36 0 23 Oct 2023
Data-centric Graph Learning: A Survey Jixi Liu Deyu Bo Cheng Yang Haoran Dai Qi Zhang Yixin Xiao Yufei Peng Chuan Shi GNN 27 19 0 08 Oct 2023
Certifiably Robust Graph Contrastive Learning Min Lin Teng Xiao Enyan Dai Xiang Zhang Suhang Wang AAML 24 6 0 05 Oct 2023
Graph-level Representation Learning with Joint-Embedding Predictive Architectures Geri Skenderi Hang Li Jiliang Tang Marco Cristani AI4TS GNN 54 3 0 27 Sep 2023
From Cluster Assumption to Graph Convolution: Graph-based Semi-Supervised Learning Revisited Zheng Wang H. Ding L. Pan Jianhua Li Zhiguo Gong Philip S. Yu GNN 21 5 0 24 Sep 2023
Layer-wise training for self-supervised learning on graphs Oscar Pina Verónica Vilaplana SSL GNN 34 1 0 04 Sep 2023
M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning Yuanyuan Guo Yu Xia Rui Wang Rongcheng Duan Luchang Li Jiangmeng Li 20 1 0 03 Sep 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 42 24 0 18 Aug 2023
Half-Hop: A graph upsampling approach for slowing down message passing Mehdi Azabou Venkataraman Ganesh S. Thakoor Chi-Heng Lin Lakshmi Sathidevi Ran Liu Michal Valko Petar Velickovic Eva L. Dyer 18 21 0 17 Aug 2023
Graph Anomaly Detection at Group Level: A Topology Pattern Enhanced Unsupervised Approach Xing Ai Jialong Zhou Yulin Zhu Gaolei Li Tomasz P. Michalak Xi Luo Kai Zhou 41 1 0 02 Aug 2023
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs Mengyi Yuan Minjie Chen Xiangci Li SSL 26 8 0 29 Jul 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection Jie Liu Mengting He Xuequn Shang Jieming Shi Bin Cui Hongzhi Yin 16 8 0 28 Jul 2023
Homophily-Driven Sanitation View for Robust Graph Contrastive Learning Yulin Zhu Xing Ai Yevgeniy Vorobeychik Kai Zhou AAML 19 0 0 24 Jul 2023
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning K. Liang Sihang Zhou Yue Liu Lingyuan Meng Meng Liu Xinwang Liu 28 15 0 06 Jul 2023
Unsupervised Episode Generation for Graph Meta-learning Jihyeong Jung Sang-gyu Seo Sungwon Kim Chanyoung Park BDL 20 0 0 27 Jun 2023
Similarity Preserving Adversarial Graph Contrastive Learning Yeonjun In Kanghoon Yoon Chanyoung Park AAML 22 9 0 24 Jun 2023
Directional diffusion models for graph representation learning Run Yang Yuling Yang Fan Zhou Qiang Sun DiffM 20 13 0 22 Jun 2023
Evolving Computation Graphs Andreea Deac Jian Tang 22 1 0 22 Jun 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 24 22 0 16 Jun 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization Xiner Li Shurui Gui Youzhi Luo Shuiwang Ji OODD OOD 20 10 0 13 Jun 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs William Shiao Uday Singh Saini Yozen Liu Tong Zhao Neil Shah Evangelos E. Papalexakis SSL OOD 23 7 0 12 Jun 2023
A Simplified Framework for Contrastive Learning for Node Representations Ilgee Hong Huy Tran Claire Donnat SSL 19 1 0 01 May 2023
Capturing Fine-grained Semantics in Contrastive Graph Representation Learning Lin Shu Chuan Chen Zibin Zheng 21 0 0 23 Apr 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner Zhenyu Hou Yufei He Yukuo Cen Xiao Liu Yuxiao Dong Evgeny Kharlamov Jie Tang SSL 24 104 0 10 Apr 2023
RARE: Robust Masked Graph Autoencoder Wenxuan Tu Qing Liao Sihang Zhou Xin Peng Chuan Ma Zhe Liu Xinwang Liu Zhiping Cai 29 12 0 04 Apr 2023
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning Chao Chen Haoyu Geng Nianzu Yang Xiaokang Yang Junchi Yan 27 8 0 22 Mar 2023
Feature propagation as self-supervision signals on graphs Oscar Pina Verónica Vilaplana SSL 12 1 0 15 Mar 2023
Graph Contrastive Learning under Heterophily via Graph Filters Wenhan Yang Baharan Mirzasoleiman 19 2 0 11 Mar 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 36 26 0 20 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 16 2 0 09 Feb 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 34 30 0 29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 24 1 0 28 Jan 2023
STERLING: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing Yuchen Yan Kaize Ding Chanyoung Park Yada Zhu Huan Liu Hanghang Tong SSL 26 18 0 25 Jan 2023
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 21 8 0 20 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 24 26 0 11 Dec 2022
Link Prediction with Non-Contrastive Learning William Shiao Zhichun Guo Tong Zhao Evangelos E. Papalexakis Yozen Liu Neil Shah 21 15 0 25 Nov 2022
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating Yixin Liu Yizhen Zheng Daokun Zhang V. Lee Shirui Pan 36 70 0 25 Nov 2022
Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure K. Liang Yue Liu Sihang Zhou Wenxuan Tu Yi Wen Xihong Yang Xiang Dong Xinwang Liu 24 76 0 19 Nov 2022
DyG2Vec: Efficient Representation Learning for Dynamic Graphs Mohammad Ali Alomrani Mahdi Biparva Yingxue Zhang Mark J. Coates AI4TS 36 3 0 30 Oct 2022
FIMP: Foundation Model-Informed Message Passing for Graph Neural Networks S. Rizvi Nazreen Pallikkavaliyaveetil David Zhang Zhuoyang Lyu Nhi Nguyen ... Amin Karbasi Rex Ying Maria Brbić Rahul M. Dhodapkar David van Dijk GNN AI4CE 13 1 0 17 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 25 16 0 17 Oct 2022
Using Graph Algorithms to Pretrain Graph Completion Transformers Jonathan Pilault Mikhail Galkin Bahare Fatemi Perouz Taslakian David Vasquez C. Pal 22 0 0 14 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 52 0 06 Oct 2022