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"

21 / 21 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 220 594 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 80 140 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 50 220 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 1,543 0 18 Mar 2021
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search Jason Zhu Yanling Cui Yuming Liu Hao Sun Xue Li Markus Pelger Tianqi Yan Liangjie Zhang Ruofei Zhang Huasha Zhao AI4CE 100 76 0 15 Jan 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 2,730 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 1,988 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 338 6,448 0 26 Sep 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 137 966 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 250 3,535 0 06 Jun 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 440 20,089 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 466 15,218 0 07 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,894 0 09 Mar 2017
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 327 7,646 0 30 Jun 2016