Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs

22 July 2024

Yuxiao Dong

Papers citing "Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs"

20 / 20 papers shown

Title
Text Embeddings by Weakly-Supervised Contrastive Pre-training Liang Wang Nan Yang Xiaolong Huang Binxing Jiao Linjun Yang Daxin Jiang Rangan Majumder Furu Wei VLM 212 593 0 07 Dec 2022
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 80 139 0 26 Oct 2022
LinkBERT: Pretraining Language Models with Document Links Michihiro Yasunaga J. Leskovec Percy Liang KELM 82 359 0 29 Mar 2022
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 50 219 0 23 Jun 2021
GLM: General Language Model Pretraining with Autoregressive Blank Infilling Zhengxiao Du Yujie Qian Xiao Liu Ming Ding J. Qiu Zhilin Yang Jie Tang BDL AI4CE 109 1,535 0 18 Mar 2021
Graph Prototypical Networks for Few-shot Learning on Attributed Networks Kaize Ding Jianling Wang Jundong Li Kai Shu Chenghao Liu Huan Liu 48 162 0 23 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 219 1,301 0 10 Jun 2020
DeBERTa: Decoding-enhanced BERT with Disentangled Attention Pengcheng He Xiaodong Liu Jianfeng Gao Weizhu Chen AAML 132 2,724 0 05 Jun 2020
SIGN: Scalable Inception Graph Neural Networks Fabrizio Frasca Emanuele Rossi D. Eynard B. Chamberlain M. Bronstein Federico Monti GNN 117 396 0 23 Apr 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Min Zhang Pekka Marttinen Philip S. Yu 292 1,980 0 02 Feb 2020
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 90 167 0 07 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 332 6,441 0 26 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 137 963 0 10 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 220 8,415 0 19 Jun 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 142 1,272 0 20 May 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 244 3,524 0 06 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 434 20,089 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 460 15,179 0 07 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 321 7,646 0 30 Jun 2016