v1v2 (latest)

Continual Learning on Dynamic Graphs via Parameter Isolation

23 May 2023

Xing Xie

Papers citing "Continual Learning on Dynamic Graphs via Parameter Isolation"

34 / 34 papers shown

Title
GCAL: Adapting Graph Models to Evolving Domain Shifts Ziyue Qiao Qianyi Cai Hao Dong Jiawei Gu Pengyang Wang Meng Xiao Xiao Luo Hui Xiong CLL 89 1 0 22 May 2025
Adapter-Enhanced Semantic Prompting for Continual Learning Baocai Yin Ji Zhao Huajie Jiang Ningning Hou Yongli Hu Amin Beheshti Ming-Hsuan Yang Yuankai Qi CLL VLM 179 0 0 15 Dec 2024
Learning on Large-scale Text-attributed Graphs via Variational Inference Jianan Zhao Meng Qu Chaozhuo Li Hao Yan Qian Liu Rui Li Xing Xie Jian Tang VLM 97 142 0 26 Oct 2022
Code Recommendation for Open Source Software Developers Yiqiao Jin Yunsheng Bai Yanqiao Zhu Yizhou Sun Wei Wang 72 24 0 15 Oct 2022
Going Deeper into Permutation-Sensitive Graph Neural Networks Zhongyu Huang Yingheng Wang Chaozhuo Li Huiguang He 67 32 0 28 May 2022
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily Xiaojun Ma Qinkai Chen Yuanyi Ren Guojie Song Liang Wang 60 22 0 19 Mar 2022
HousE: Knowledge Graph Embedding with Householder Parameterization Rui Li Jianan Zhao Chaozhuo Li Di He Yiqi Wang ... Senzhang Wang Weiwei Deng Yanming Shen Xing Xie Qi Zhang 61 47 0 16 Feb 2022
Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks Zixuan Ke Bing-Quan Liu Xingchang Huang CLL 63 125 0 18 Dec 2021
Towards Fine-Grained Reasoning for Fake News Detection Yiqiao Jin Xiting Wang Ruichao Yang Yizhou Sun Wei Wang Hao Liao Xing Xie GNN 66 63 0 13 Sep 2021
Model Zoo: A Growing "Brain" That Learns Continually Rahul Ramesh Pratik Chaudhari CLL FedML 78 65 0 06 Jun 2021
Overcoming Catastrophic Forgetting in Graph Neural Networks Huihui Liu Yiding Yang Xinchao Wang 214 118 0 10 Dec 2020
Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules Johannes Klicpera Shankari Giri Johannes T. Margraf Stephan Günnemann 79 324 0 28 Nov 2020
Directional Message Passing for Molecular Graphs Johannes Klicpera Janek Groß Stephan Günnemann 127 881 0 06 Mar 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 189 3,674 0 06 Feb 2020
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 69 327 0 31 Jul 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 244 3,182 0 19 Feb 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 116 1,171 0 28 Nov 2018
Pitfalls of Graph Neural Network Evaluation Oleksandr Shchur Maximilian Mumme Aleksandar Bojchevski Stephan Günnemann GNN 168 1,365 0 14 Nov 2018
Streaming Graph Neural Networks Yao Ma Ziyi Guo Zhaochun Ren Eric Zhao Jiliang Tang Dawei Yin GNN 69 238 0 24 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 257 7,695 0 01 Oct 2018
Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence Arslan Chaudhry P. Dokania Thalaiyasingam Ajanthan Philip Torr CLL 105 1,145 0 30 Jan 2018
Memory Aware Synapses: Learning what (not) to forget Rahaf Aljundi F. Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars KELM CLL 87 1,646 0 27 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 481 20,233 0 30 Oct 2017
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 125 1,229 0 04 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 129 2,735 0 26 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Incremental Learning Through Deep Adaptation Amir Rosenfeld John K. Tsotsos CLL 76 278 0 11 May 2017
PathNet: Evolution Channels Gradient Descent in Super Neural Networks Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwols David R Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra 75 881 0 30 Jan 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 374 7,561 0 02 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 657 29,154 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,906 0 03 Jul 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 308 4,428 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 79 2,464 0 15 Jun 2016
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 263 9,800 0 26 Mar 2014