Graph Lifelong Learning: A Survey

22 February 2022

Papers citing "Graph Lifelong Learning: A Survey"

50 / 85 papers shown

Title
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 254 20 0 28 Jan 2025
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework Xiangjie Kong Kailai Wang Mingliang Hou Feng Xia G. Karmakar Jianxin Li AI4TS 50 43 0 17 Feb 2022
Transformer for Graphs: An Overview from Architecture Perspective Erxue Min Runfa Chen Yatao Bian Tingyang Xu Kangfei Zhao Wenbing Huang P. Zhao Junzhou Huang Sophia Ananiadou Yu Rong 71 142 0 17 Feb 2022
Out-Of-Distribution Generalization on Graphs: A Survey Haoyang Li Xin Eric Wang Ziwei Zhang Wenwu Zhu OOD CML 101 101 0 16 Feb 2022
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks Xiangtai Chen Tao Tang Jing Ren Ivan Lee Honglong Chen Feng Xia 46 7 0 16 Feb 2022
Graph Few-shot Class-incremental Learning Zhen Tan Kaize Ding Ruocheng Guo Huan Liu CLL GNN 70 60 0 23 Dec 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 280 926 0 21 Oct 2021
A distillation-based approach integrating continual learning and federated learning for pervasive services Anastasiia Usmanova Franccois Portet P. Lalanda Germán Vega FedML 71 55 0 09 Sep 2021
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space Menglin Yang Min Zhou Marcus Kalander Zengfeng Huang Irwin King 57 124 0 08 Jul 2021
TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning Xu Chen Junshan Wang Kunqing Xie AI4TS AI4CE 70 65 0 11 Jun 2021
Federated Graph Learning -- A Position Paper Hu Zhang Tao Shen Leilei Gan Mingyang Yin Hongxia Yang Chao Wu FedML 67 52 0 24 May 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 76 350 0 03 May 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 86 294 0 07 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 77 56 0 04 Apr 2021
Dynamic Network Embedding Survey Guotong Xue Ming Zhong Jianxin Li Jia Chen C. Zhai Ruochen Kong AI4TS 41 166 0 29 Mar 2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Antonio Carta Andrea Cossu Federico Errica D. Bacciu GNN 42 14 0 22 Mar 2021
A Survey on Embedding Dynamic Graphs Claudio D. T. Barros Matheus R. F. Mendonça A. Vieira A. Ziviani AI4TS AI4CE 54 132 0 04 Jan 2021
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 79 219 0 17 Dec 2020
Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu Yiding Yang Xinchao Wang 207 117 0 10 Dec 2020
Line Graph Neural Networks for Link Prediction Lei Cai Jundong Li Jie Wang Shuiwang Ji GNN 193 200 0 20 Oct 2020
Disentangle-based Continual Graph Representation Learning Xiaoyu Kou Yankai Lin Shaobo Liu Peng Li Jie Zhou Yan Zhang CLL 55 32 0 06 Oct 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao Sebastian Scherer CLL GNN AI4CE 73 51 0 01 Sep 2020
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining Jiaying Liu Feng Xia Lei Wang Bo Xu Xiangjie Kong Hanghang Tong Irwin King AI4TS 42 54 0 17 Aug 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 109 708 0 14 Jul 2020
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media Yi Han S. Karunasekera C. Leckie GNN 94 111 0 07 Jul 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 59 38 0 25 Jun 2020
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey Joakim Skarding Bogdan Gabrys Katarzyna Musial AI4CE 72 231 0 13 May 2020
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 397 939 0 02 Mar 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 318 1,118 0 13 Feb 2020
Graduate Employment Prediction with Bias Teng Guo Feng Xia Shi Zhen Xiaomei Bai Dongyu Zhang Zitao Liu Jiliang Tang 72 26 0 27 Dec 2019
Network Embedding: An Overview Nino Arsov G. Mirceva GNN 58 24 0 26 Nov 2019
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 177 4,440 0 07 Nov 2019
Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 52 309 0 15 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut SSL AIMat 346 6,448 0 26 Sep 2019
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics Mark Weber Giacomo Domeniconi Jie Chen D. Weidele Claudio Bellei Tom Robinson C. E. Leiserson 69 326 0 31 Jul 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 58 249 0 29 Jun 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN AI4TS 82 2,158 0 31 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 98 455 0 27 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 144 1,272 0 20 May 2019
RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space Zhiqing Sun Zhihong Deng Jian-Yun Nie Jian Tang 105 2,128 0 26 Feb 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 750 8,517 0 03 Jan 2019
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 149 1,333 0 11 Dec 2018
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 195 1,453 0 02 Dec 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Zhaochun Ren Eric Zhao Jiliang Tang Dawei Yin GNN 67 238 0 24 Oct 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 212 1,685 0 14 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 236 7,638 0 01 Oct 2018
Memory Efficient Experience Replay for Streaming Learning Tyler L. Hayes N. Cahill Christopher Kanan 64 232 0 16 Sep 2018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning Palash Goyal Sujit Rokka Chhetri A. Canedo 72 402 0 07 Sep 2018
Deep Reasoning with Knowledge Graph for Social Relationship Understanding Zhouxia Wang Tianshui Chen Jimmy S. J. Ren Weihao Yu Hui Cheng Liang Lin GNN 85 176 0 02 Jul 2018
Continuous Learning in Single-Incremental-Task Scenarios Davide Maltoni Vincenzo Lomonaco CLL 86 308 0 22 Jun 2018