PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

2 August 2015

Jian Tang

Papers citing "PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks"

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Title
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy Sen Zhang Qingqing Ye Haibo Hu 56 0 0 08 Jan 2025
Simplifying complex machine learning by linearly separable network embedding spaces Alexandros Xenos N. Malod-Dognin Natasa Przulj 37 0 0 02 Oct 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 44 0 0 11 Jun 2024
Tight and fast generalization error bound of graph embedding in metric space Atsushi Suzuki Atsushi Nitanda Taiji Suzuki Jing Wang Feng Tian Kenji Yamanishi 28 1 0 13 May 2023
Generating Post-hoc Explanations for Skip-gram-based Node Embeddings by Identifying Important Nodes with Bridgeness Hogun Park Jennifer Neville 21 4 0 24 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 75 144 0 11 Apr 2023
Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks Xin Gao Wentao Zhang Tong Chen Junliang Yu Hung Quoc Viet Nguyen Hongzhi Yin 55 11 0 27 Feb 2023
HyperAttack: Multi-Gradient-Guided White-box Adversarial Structure Attack of Hypergraph Neural Networks Chao Hu Ruishi Yu Binqi Zeng Yu Zhan Ying Fu Quan Zhang Rongkai Liu Heyuan Shi AAML 28 7 0 24 Feb 2023
HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer Qiheng Mao Zemin Liu Chenghao Liu Jianling Sun 56 56 0 22 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 31 8 0 16 Feb 2023
Text classification in shipping industry using unsupervised models and Transformer based supervised models Yingyi Xie Dongping Song 68 1 0 21 Dec 2022
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts Yu Zhang Yunyi Zhang Martin Michalski Yucheng Jiang Yu Meng Jiawei Han 68 18 0 12 Dec 2022
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems Qian Li Jianxin Li Lihong Wang Cheng Ji Yiming Hei Shuaiyi Nie Qingyun Sun Shan Xue P. Xie 26 9 0 15 Nov 2022
Random Fourier Features for Asymmetric Kernels Ming-qian He Fan He Fanghui Liu Xiaolin Huang 36 3 0 18 Sep 2022
Associative Learning for Network Embedding Yuchen Liang Dmitry Krotov Mohammed J. Zaki 20 0 0 30 Aug 2022
A flexible PageRank-based graph embedding framework closely related to spectral eigenvector embeddings Disha Shur Yufan Huang D. Gleich 29 1 0 22 Jul 2022
Whois? Deep Author Name Disambiguation using Bibliographic Data Zeyd Boukhers N. Bahubali 30 6 0 11 Jul 2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest Saket Gurukar Nikil Pancha Andrew Zhai Eric Kim Samson Hu Srinivas Parthasarathy Charles R. Rosenberg J. Leskovec 84 15 0 21 May 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds Yu Zhang Yu Meng Xuan Wang Sheng Wang Jiawei Han 70 14 0 04 May 2022
Label Anchored Contrastive Learning for Language Understanding Zhenyu Zhang Yuming Zhao Meng Chen Xiaodong He 29 13 0 26 Apr 2022
Research on Domain Information Mining and Theme Evolution of Scientific Papers Changwei Zheng Zhe Xue M. Liang Feifei Kou Zeli Guan AI4CE 32 0 0 18 Apr 2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification Kunze Wang S. Han Siqu Long Josiah Poon 36 20 0 10 Apr 2022
A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications Jun Xia Yanqiao Zhu Yuanqi Du Stan Z. Li VLM 35 41 0 16 Feb 2022
Representation Learning on Heterostructures via Heterogeneous Anonymous Walks X. Guo Pengfei Jiao Ting Pan Wang Zhang Mengyu Jia Danyang Shi Wenjun Wang 34 1 0 18 Jan 2022
DeHIN: A Decentralized Framework for Embedding Large-scale Heterogeneous Information Networks Mubashir Imran Hongzhi Yin Tong Chen Zi Huang Kai Zheng 41 2 0 08 Jan 2022
MotifClass: Weakly Supervised Text Classification with Higher-order Metadata Information Yu Zhang Shweta Garg Yu Meng Xiusi Chen Jiawei Han 51 16 0 07 Nov 2021
CLLD: Contrastive Learning with Label Distance for Text Classification Jinhe Lan Qingyuan Zhan Chenhao Jiang Kunping Yuan Desheng Wang VLM 39 2 0 25 Oct 2021
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling Ling Zhan Tao Jia 41 8 0 12 Oct 2021
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data Dheeraj Mekala Varun Gangal Jingbo Shang AI4TS 47 22 0 22 Sep 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 57 22 0 20 Sep 2021
InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification Siddhant Kharbanda Atmadeep Banerjee Devaansh Gupta Akash Palrecha Rohit Babbar 42 9 0 13 Sep 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 42 42 0 24 Aug 2021
REFINE: Random RangE FInder for Network Embedding Hao Zhu Piotr Koniusz 62 22 0 24 Aug 2021
BertGCN: Transductive Text Classification by Combining GCN and BERT Yuxiao Lin Yuxian Meng Xiaofei Sun Qinghong Han Kun Kuang Jiwei Li Fei Wu 26 229 0 12 May 2021
Graph Learning: A Survey Feng Xia Ke Sun Shuo Yu Abdul Aziz Liangtian Wan Shirui Pan Huan Liu GNN 42 346 0 03 May 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 61 3 0 24 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 41 15 0 18 Jan 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 43 295 0 30 Nov 2020
KST-GCN: A Knowledge-Driven Spatial-Temporal Graph Convolutional Network for Traffic Forecasting Jiawei Zhu Xing Han Hanhan Deng Chao Tao Ling Zhao Pu Wang Tao Lin Haifeng Li AI4TS 34 100 0 26 Nov 2020
Cyclic Label Propagation for Graph Semi-supervised Learning Zhao Li Yixin Liu Zhen Zhang Shirui Pan Jianliang Gao Jiajun Bu 26 7 0 24 Nov 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach Yu Meng Yunyi Zhang Jiaxin Huang Chenyan Xiong Heng Ji Chao Zhang Jiawei Han VLM 55 76 0 14 Oct 2020
Towards a Flexible Embedding Learning Framework Chin-Chia Michael Yeh Dhruv Gelda Zhongfang Zhuang Yan Zheng Liang Gou Wei Zhang 35 9 0 23 Sep 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 39 5 0 26 Aug 2020
Adversarial Directed Graph Embedding Shijie Zhu Jianxin Li Hao Peng Senzhang Wang Lifang He GAN GNN 43 44 0 09 Aug 2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network Mingyuan Ma Sen Na Hongyu Wang GNN 34 28 0 03 Jul 2020
Node Embeddings and Exact Low-Rank Representations of Complex Networks Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis BDL 32 33 0 10 Jun 2020
Propositionalization and Embeddings: Two Sides of the Same Coin Nada Lavrac Blaž Škrlj Marko Robnik-Šikonja 26 26 0 08 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 46 6 0 02 Jun 2020
Interpretable and Efficient Heterogeneous Graph Convolutional Network Yaming Yang Ziyu Guan Jianxin Li Wei Zhao Jiangtao Cui Quan Wang GNN 29 172 0 27 May 2020
Minimally Supervised Categorization of Text with Metadata Yu Zhang Yu Meng Jiaxin Huang Frank F. Xu Xuan Wang Jiawei Han 37 25 0 01 May 2020