{"list":"other","total":63,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"1907.11692","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","created":"2019-07-26","cited_by_count":13372},{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"1710.10903","title":"Graph Attention Networks","created":"2017-10-30","cited_by_count":8923},{"id":"1409.0473","title":"Neural Machine Translation by Jointly Learning to Align and Translate","created":"2014-09-01","cited_by_count":4548},{"id":"1301.3781","title":"Efficient Estimation of Word Representations in Vector Space","created":"2013-01-16","cited_by_count":4375},{"id":"1406.1078","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","created":"2014-06-03","cited_by_count":4057},{"id":"1704.01212","title":"Neural Message Passing for Quantum Chemistry","created":"2017-04-04","cited_by_count":3487},{"id":"1901.00596","title":"A Comprehensive Survey on Graph Neural Networks","created":"2019-01-03","cited_by_count":2919},{"id":"1412.3555","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","created":"2014-12-11","cited_by_count":2367},{"id":"1509.01626","title":"Character-level Convolutional Networks for Text Classification","created":"2015-09-04","cited_by_count":2330},{"id":"1802.05365","title":"Deep contextualized word representations","created":"2018-02-15","cited_by_count":2290},{"id":"1607.04606","title":"Enriching Word Vectors with Subword Information","created":"2016-07-15","cited_by_count":1583},{"id":"1812.08434","title":"Graph Neural Networks: A Review of Methods and Applications","created":"2018-12-20","cited_by_count":1576},{"id":"1902.07153","title":"Simplifying Graph Convolutional Networks","created":"2019-02-19","cited_by_count":1477},{"id":"1611.07308","title":"Variational Graph Auto-Encoders","created":"2016-11-21","cited_by_count":1382},{"id":"1806.01261","title":"Relational inductive biases, deep learning, and graph networks","created":"2018-06-04","cited_by_count":1360},{"id":"2012.15723","title":"Making Pre-trained Language Models Better Few-shot Learners","created":"2020-12-31","cited_by_count":1256},{"id":"1408.5882","title":"Convolutional Neural Networks for Sentence Classification","created":"2014-08-25","cited_by_count":1127},{"id":"1611.08097","title":"Geometric deep learning: going beyond Euclidean data","created":"2016-11-24","cited_by_count":1048},{"id":"1511.05493","title":"Gated Graph Sequence Neural Networks","created":"2015-11-17","cited_by_count":796},{"id":"1806.08804","title":"Hierarchical Graph Representation Learning with Differentiable Pooling","created":"2018-06-22","cited_by_count":787},{"id":"1703.04009","title":"Automated Hate Speech Detection and the Problem of Offensive Language","created":"2017-03-11","cited_by_count":736},{"id":"2103.10385","title":"GPT Understands, Too","created":"2021-03-18","cited_by_count":716},{"id":"1405.4053","title":"Distributed Representations of Sentences and Documents","created":"2014-05-16","cited_by_count":678},{"id":"1709.05584","title":"Representation Learning on Graphs: Methods and Applications","created":"2017-09-17","cited_by_count":457},{"id":"1809.05679","title":"Graph Convolutional Networks for Text Classification","created":"2018-09-15","cited_by_count":345},{"id":"1605.05273","title":"Learning Convolutional Neural Networks for Graphs","created":"2016-05-17","cited_by_count":314},{"id":"1503.00075","title":"Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks","created":"2015-02-28","cited_by_count":306},{"id":"1802.00393","title":"Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior","created":"2018-02-01","cited_by_count":270},{"id":"2006.13009","title":"Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings","created":"2020-06-21","cited_by_count":214},{"id":"2102.10757","title":"Self-Supervised Learning of Graph Neural Networks: A Unified Review","created":"2021-02-22","cited_by_count":184},{"id":"1404.2188","title":"A Convolutional Neural Network for Modelling Sentences","created":"2014-04-08","cited_by_count":163},{"id":"1904.08067","title":"Text Classification Algorithms: A Survey","created":"2019-04-17","cited_by_count":163},{"id":"1605.05101","title":"Recurrent Neural Network for Text Classification with Multi-Task Learning","created":"2016-05-17","cited_by_count":144},{"id":"2004.03705","title":"Deep Learning Based Text Classification: A Comprehensive Review","created":"2020-04-06","cited_by_count":141},{"id":"2005.07496","title":"Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey","created":"2020-05-13","cited_by_count":124},{"id":"1803.03735","title":"Attention-based Graph Neural Network for Semi-supervised Learning","created":"2018-03-10","cited_by_count":101},{"id":"2008.00364","title":"A Survey on Text Classification: From Shallow to Deep Learning","created":"2020-08-02","cited_by_count":80},{"id":"2111.15367","title":"A Review on Graph Neural Network Methods in Financial Applications","created":"2021-11-27","cited_by_count":78},{"id":"2004.13826","title":"Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks","created":"2020-04-22","cited_by_count":77},{"id":"2011.00387","title":"Be More with Less: Hypergraph Attention Networks for Inductive Text Classification","created":"2020-11-01","cited_by_count":74},{"id":"2105.05727","title":"BertGCN: Transductive Text Classification by Combining GCN and BERT","created":"2021-05-12","cited_by_count":74},{"id":"2101.10025","title":"A Review of Graph Neural Networks and Their Applications in Power Systems","created":"2021-01-25","cited_by_count":63},{"id":"1910.02356","title":"Text Level Graph Neural Network for Text Classification","created":"2019-10-06","cited_by_count":60},{"id":"2204.07321","title":"Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities","created":"2022-04-15","cited_by_count":52},{"id":"2001.05313","title":"Tensor Graph Convolutional Networks for Text Classification","created":"2020-01-12","cited_by_count":49},{"id":"1512.08422","title":"Natural Language Inference by Tree-Based Convolution and Heuristic Matching","created":"2015-12-28","cited_by_count":43},{"id":"2004.05707","title":"VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification","created":"2020-04-12","cited_by_count":35},{"id":"1611.01702","title":"TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency","created":"2016-11-05","cited_by_count":27},{"id":"1908.06267","title":"Message Passing Attention Networks for Document Understanding","created":"2019-08-17","cited_by_count":23},{"id":"1909.05729","title":"GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation","created":"2019-09-12","cited_by_count":22},{"id":"1909.08402","title":"Enriching BERT with Knowledge Graph Embeddings for Document Classification","created":"2019-09-18","cited_by_count":22},{"id":"2008.12842","title":"HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification","created":"2020-08-19","cited_by_count":21},{"id":"2204.03080","title":"Graph Neural Networks Designed for Different Graph Types: A Survey","created":"2022-04-06","cited_by_count":21},{"id":"2112.06386","title":"Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification","created":"2021-12-13","cited_by_count":15},{"id":"2206.00265","title":"InducT-GCN: Inductive Graph Convolutional Networks for Text Classification","created":"2022-06-01","cited_by_count":15},{"id":"1511.02199","title":"The Poisson Gamma Belief Network","created":"2015-11-06","cited_by_count":10},{"id":"1901.06610","title":"Hierarchical Attentional Hybrid Neural Networks for Document Classification","created":"2019-01-20","cited_by_count":10},{"id":"2204.04618","title":"ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification","created":"2022-04-10","cited_by_count":10},{"id":"1909.08166","title":"Recursive Graphical Neural Networks for Text Classification","created":"2019-09-18","cited_by_count":4},{"id":"2106.05809","title":"Simple Graph Convolutional Networks","created":"2021-06-10","cited_by_count":2}],"next_cursor":null}