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HeteGCN: Heterogeneous Graph Convolutional Networks for Text
  Classification

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

19 August 2020
Rahul Ragesh
Sundararajan Sellamanickam
Arun Shankar Iyer
Ramakrishna Bairi
Vijay Lingam
    GNN
ArXiv (abs)PDFHTML

Papers citing "HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification"

20 / 20 papers shown
Graph Neural Networks on Discriminative Graphs of Words
Graph Neural Networks on Discriminative Graphs of Words
Yassine Abbahaddou
J. Lutzeyer
Michalis Vazirgiannis
222
2
0
27 Oct 2024
Text Classification using Graph Convolutional Networks: A Comprehensive
  Survey
Text Classification using Graph Convolutional Networks: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2024
Syed Mustafa Haider Rizvi
Ramsha Imran
Arif Mahmood
GNNOODFaML
197
9
0
12 Oct 2024
Relational Graph Convolutional Networks for Sentiment Analysis
Relational Graph Convolutional Networks for Sentiment Analysis
Asal Khosravi
Zahed Rahmati
Ali Vefghi
GNN
140
3
0
16 Apr 2024
HiGPT: Heterogeneous Graph Language Model
HiGPT: Heterogeneous Graph Language Model
Jiabin Tang
Yuhao Yang
Wei Wei
Lei Shi
Long Xia
D. Yin
Chao Huang
272
51
0
25 Feb 2024
Investigating the Interplay between Features and Structures in Graph
  Learning
Investigating the Interplay between Features and Structures in Graph Learning
Daniele Castellana
Federico Errica
248
4
0
18 Aug 2023
Graph Neural Networks for Text Classification: A Survey
Graph Neural Networks for Text Classification: A SurveyArtificial Intelligence Review (AIR), 2023
Kunze Wang
Yihao Ding
S. Han
FaMLGNN
359
49
0
23 Apr 2023
Text Representation Enrichment Utilizing Graph based Approaches: Stock
  Market Technical Analysis Case Study
Text Representation Enrichment Utilizing Graph based Approaches: Stock Market Technical Analysis Case Study
Sara Salamat
Nima Tavassoli
Behnam Sabeti
Reza Fahmi
95
0
0
29 Nov 2022
Inductive Graph Transformer for Delivery Time Estimation
Inductive Graph Transformer for Delivery Time EstimationWeb Search and Data Mining (WSDM), 2022
Xin Zhou
Jinglong Wang
Yong Liu
Xin Wu
Zhiqi Shen
Cyril Leung
91
20
0
05 Nov 2022
Analysis of Convolutions, Non-linearity and Depth in Graph Neural
  Networks using Neural Tangent Kernel
Analysis of Convolutions, Non-linearity and Depth in Graph Neural Networks using Neural Tangent Kernel
Mahalakshmi Sabanayagam
Pascal Esser
Debarghya Ghoshdastidar
371
4
0
18 Oct 2022
Improving Graph-Based Text Representations with Character and Word Level
  N-grams
Improving Graph-Based Text Representations with Character and Word Level N-grams
Wenzhe Li
Nikolaos Aletras
GNN
192
3
0
12 Oct 2022
Instance-Dependent Noisy Label Learning via Graphical Modelling
Instance-Dependent Noisy Label Learning via Graphical ModellingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Arpit Garg
Cuong C. Nguyen
Rafael Felix
Thanh-Toan Do
G. Carneiro
NoLa
205
42
0
02 Sep 2022
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for
  Semi-supervised Text Classification
ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification
Kunze Wang
S. Han
Siqu Long
Josiah Poon
128
23
0
10 Apr 2022
Are We Really Making Much Progress in Text Classification? A Comparative
  Review
Are We Really Making Much Progress in Text Classification? A Comparative Review
Lukas Galke
Andor Diera
Bao Xin Lin
Bhakti Khera
Tim Meuser
Tushar Singhal
Fabian Karl
A. Scherp
VLM
362
14
0
08 Apr 2022
Hierarchical Heterogeneous Graph Representation Learning for Short Text
  Classification
Hierarchical Heterogeneous Graph Representation Learning for Short Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Yaqing Wang
Song Wang
Quanming Yao
Dejing Dou
165
51
0
30 Oct 2021
BioIE: Biomedical Information Extraction with Multi-head Attention
  Enhanced Graph Convolutional Network
BioIE: Biomedical Information Extraction with Multi-head Attention Enhanced Graph Convolutional Network
Jialun Wu
Yang Liu
Zeyu Gao
Tieliang Gong
Chunbao Wang
Chen Li
115
18
0
26 Oct 2021
Revisiting SVD to generate powerful Node Embeddings for Recommendation
  Systems
Revisiting SVD to generate powerful Node Embeddings for Recommendation Systems
A. Budhiraja
64
2
0
05 Oct 2021
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label
  Text Classification
LiGCN: Label-interpretable Graph Convolutional Networks for Multi-label Text Classification
Irene Li
Aosong Feng
Hao Wu
Tianxiao Li
Toyotaro Suzumura
Ruihai Dong
171
12
0
26 Mar 2021
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph
  Neural Networks
GLAM: Graph Learning by Modeling Affinity to Labeled Nodes for Graph Neural Networks
Vijay Lingam
Arun Shankar Iyer
Rahul Ragesh
103
2
0
20 Feb 2021
User Embedding based Neighborhood Aggregation Method for Inductive
  Recommendation
User Embedding based Neighborhood Aggregation Method for Inductive Recommendation
Rahul Ragesh
Sundararajan Sellamanickam
Vijay Lingam
Arun Shankar Iyer
Ramakrishna Bairi
GNN
131
6
0
15 Feb 2021
A Survey on Text Classification: From Shallow to Deep Learning
A Survey on Text Classification: From Shallow to Deep LearningACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020
Qian Li
Hao Peng
Jianxin Li
Congyin Xia
Renyu Yang
Lichao Sun
Philip S. Yu
Lifang He
VLM
444
456
0
02 Aug 2020
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