Pierre-Édouard Portier

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All published works
Action Title Year Authors
+ GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and Graph Embeddings-Based Metrics for Graph Generators 2024 Ousmane Touat
Julian Stier
Pierre-Édouard Portier
Michael Granitzer
+ GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators 2023 Ousmane Touat
Julian Stier
Pierre-Édouard Portier
Michael Granitzer
+ PDF Chat PromptORE - A Novel Approach Towards Fully Unsupervised Relation Extraction 2022 Pierre-Yves Genest
Pierre-Édouard Portier
Elöd Egyed‐Zsigmond
Laurent-Walter Goix
+ Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs 2019 Yvan Lucas
Pierre-Édouard Portier
Léa Laporte
Liyun He-Guelton
Olivier Caelen
Michael Granitzer
Sylvie Calabretto
+ PDF Chat Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs 2019 Yvan Lucas
Pierre-Édouard Portier
Léa Laporte
Liyun He-Guelton
Olivier Caelen
Michael Granitzer
Sylvie Calabretto
+ Dataset shift quantification for credit card fraud detection. 2019 Yvan Lucas
Pierre-Édouard Portier
Léa Laporte
Sylvie Calabretto
Liyun He-Guelton
Frédéric Oblé
Michael Granitzer
+ PDF Chat Dataset Shift Quantification for Credit Card Fraud Detection 2019 Yvan Lucas
Pierre-Édouard Portier
Léa Laporte
Sylvie Calabretto
Liyun He-Guelton
Frédéric Oblé
Michael Granitzer
+ PDF Chat Multiple perspectives HMM-based feature engineering for credit card fraud detection 2019 Yvan Lucas
Pierre-Édouard Portier
Léa Laporte
Sylvie Calabretto
Olivier Caelen
Liyun He-Guelton
Michael Granitzer
+ Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs 2019 Yvan Lucas
Pierre-Édouard Portier
Léa Laporte
Liyun He-Guelton
Olivier Caelen
Michael Granitzer
Sylvie Calabretto
+ Multiple perspectives HMM-based feature engineering for credit card fraud detection 2019 Yvan Lucas
Pierre-Édouard Portier
Léa Laporte
Olivier Caelen
Liyun He-Guelton
Sylvie Calabretto
Michael Granitzer
+ Ordonnancement d'entités pour la rencontre du web des documents et du web des données 2016 Mazen Alsarem
Pierre-Édouard Portier
Sylvie Calabretto
Harald Kosch
+ PDF Chat Ordonnancement d’entités pour la rencontre du web des documents et du web des données 2015 Mazen Alsarem
Pierre-Édouard Portier
Sylvie Calabretto
Harold Koch
+ PDF Chat Ordonnancement d'entités pour la rencontre du web des documents et du web des données 2015 Mazen Alsarem
Pierre-Édouard Portier
Sylvie Calabretto
Harald Kosch
+ PDF Chat Ranking Entities in the Age of Two Webs, an Application to Semantic Snippets 2015 Mazen Alsarem
Pierre-Édouard Portier
Sylvie Calabretto
Harald Kosch
+ SEMashup: Making Use of Linked Data for Generating Enhanced Snippets 2014 Mazen Alsarem
Pierre-Édouard Portier
Sylvie Calabretto
Harald Kosch
+ PDF Chat Making Use of Linked Data for Generating Enhanced Snippets 2014 Mazen Alsarem
Pierre-Édouard Portier
Sylvie Calabretto
Harald Kosch
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Multiple perspectives HMM-based feature engineering for credit card fraud detection 2019 Yvan Lucas
Pierre-Édouard Portier
Léa Laporte
Sylvie Calabretto
Olivier Caelen
Liyun He-Guelton
Michael Granitzer
4
+ PDF Chat The Measurement of Observer Agreement for Categorical Data 1977 J. Richard Landis
Gary G. Koch
3
+ A Consensual Linear Opinion Pool 2012 Arthur Carvalho
Kate Larson
3
+ Tensor Decompositions and Applications 2009 Tamara G. Kolda
Brett W. Bader
2
+ X-means: Extending K-means with Efficient Estimation of the Number of Clusters 2000 Dan Pelleg
Andrew Moore
2
+ PDF Chat SMOTE: Synthetic Minority Over-sampling Technique 2002 Nitesh V. Chawla
Kevin W. Bowyer
Lawrence Hall
W. Philip Kegelmeyer
2
+ Prototypical Networks for Few-shot Learning 2017 Jake Snell
Kevin Swersky
Richard S. Zemel
1
+ BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 2018 Jacob Devlin
Ming‐Wei Chang
Kenton Lee
Kristina Toutanova
1
+ Neural Open Information Extraction 2018 Lei Cui
Furu Wei
Ming Zhou
1
+ PDF Chat Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks 2019 Ningyu Zhang
Shumin Deng
Zhanlin Sun
Guanying Wang
Xi Chen
Wei Zhang
Huajun Chen
1
+ PDF Chat Ranked List Loss for Deep Metric Learning 2019 Xinshao Wang
Hua Yang
Elyor Kodirov
Guosheng Hu
Romain Garnier
Neil M. Robertson
1
+ PDF Chat A general framework for information extraction using dynamic span graphs 2019 Yi Luan
Dave Wadden
Luheng He
Amy Shah
Mari Ostendorf
Hannaneh Hajishirzi
1
+ DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction 2019 Shun Zheng
Xu Han
Yankai Lin
Peilin Yu
Chen Lü
Ling Huang
Zhiyuan Liu
Wei Xu
1
+ Deep Contextualized Word Representations 2018 Matthew E. Peters
Mark E Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
1
+ PDF Chat FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation 2018 Xu Han
Hao Zhu
Pengfei Yu
Ziyun Wang
Yuan Yao
Zhiyuan Liu
Maosong Sun
1
+ Matching the Blanks: Distributional Similarity for Relation Learning 2019 Livio Baldini Soares
Nicholas FitzGerald
Jeffrey Ling
Tom Kwiatkowski
1
+ RoBERTa: A Robustly Optimized BERT Pretraining Approach 2019 Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
Mike Lewis
Luke Zettlemoyer
Veselin Stoyanov
1
+ OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction 2019 Xu Han
Tianyu Gao
Yuan Yao
Deming Ye
Zhiyuan Liu
Maosong Sun
1
+ FewRel 2.0: Towards More Challenging Few-Shot Relation Classification 2019 Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
1
+ PDF Chat Entity, Relation, and Event Extraction with Contextualized Span Representations 2019 David Wadden
Ulme Wennberg
Yi Luan
Hannaneh Hajishirzi
1
+ A Survey on Knowledge Graphs: Representation, Acquisition, and Applications 2021 Shaoxiong Ji
Shirui Pan
Erik Cambria
Pekka Marttinen
Philip S. Yu
1
+ Random Features Strengthen Graph Neural Networks 2021 Ryoma Sato
Makoto Yamada
Hisashi Kashima
1
+ Revisiting Unsupervised Relation Extraction 2020 Thy Thy Tran
Phong Ba Le
Sophia Ananiadou
1
+ PDF Chat A Survey on Knowledge Graph-Based Recommender Systems 2020 Qingyu Guo
Fuzhen Zhuang
Chuan Qin
Hengshu Zhu
Xing Xie
Hui Xiong
Qing He
1
+ AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts 2020 Taylor Shin
Yasaman Razeghi
Robert L. Logan
Eric Wallace
Sameer Singh
1
+ PDF Chat Unsupervised Open Relation Extraction 2017 Hady Elsahar
Elena Demidova
Simon Gottschalk
Christophe Gravier
Frédérique Laforest
1
+ SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction 2020 Xuming Hu
Lijie Wen
Yusong Xu
Chenwei Zhang
Philip S. Yu
1
+ PDF Chat GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation 2020 Nikhil Goyal
Harsh Jain
Sayan Ranu
1
+ Multidimensional analysis of excitonic spectra of monolayers of tungsten disulphide: toward computer-aided identification of structural and environmental perturbations of 2D materials 2021 Pavel V. Kolesnichenko
Qianhui Zhang
Changxi Zheng
Michael S. Fuhrer
Jeffrey A. Davis
1
+ BERTese: Learning to Speak to BERT 2021 Adi Haviv
Jonathan Berant
Amir Globerson
1
+ PDF Chat DeepGG: A Deep Graph Generator 2021 Julian Stier
Michael Granitzer
1
+ True Few-Shot Learning with Language Models 2021 Ethan Perez
Douwe Kiela
Kyunghyun Cho
1
+ PDF Chat A Frustratingly Easy Approach for Entity and Relation Extraction 2021 Zexuan Zhong
Danqi Chen
1
+ PDF Chat Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model 2021 Wenkai Zhang
Hongyu Lin
Xianpei Han
Le Sun
Huidan Liu
Zhicheng Wei
Nicholas Jing Yuan
1
+ Making Pre-trained Language Models Better Few-shot Learners 2021 Tianyu Gao
Adam Fisch
Danqi Chen
1
+ De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention 2021 Wenkai Zhang
Hongyu Lin
Xianpei Han
Le Sun
1
+ Element Intervention for Open Relation Extraction 2021 Fangchao Liu
Lingyong Yan
Hongyu Lin
Xianpei Han
Le Sun
1
+ The Surprising Power of Graph Neural Networks with Random Node Initialization 2021 Ralph Abboud
İsmail İlkan Ceylan
Martin Grohe
Thomas Lukasiewicz
1
+ PDF Chat KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction 2022 Xiang Chen
Ningyu Zhang
Xin Xie
Shumin Deng
Yunzhi Yao
Chuanqi Tan
Fei Huang
Luo Si
Huajun Chen
1
+ PDF Chat A Relation-Oriented Clustering Method for Open Relation Extraction 2021 Jun Zhao
Tao Gui
Qi Zhang
Yaqian Zhou
1
+ PDF Chat Zero-shot Relation Classification from Side Information 2021 Jiaying Gong
Hoda Eldardiry
1
+ EPPAC: Entity Pre-typing Relation Classification with Prompt AnswerCentralizing 2022 Jiejun Tan
Wenbin Hu
Weiwei Liu
1
+ PDF Chat GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders 2018 Martin Simonovsky
Nikos Komodakis
1
+ Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing 2021 Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
1
+ PDF Chat On Positional and Structural Node Features for Graph Neural Networks on Non-attributed Graphs 2022 Hejie Cui
Zijie Lu
Li Pan
Carl Yang
1
+ PDF Chat DeepDPM: Deep Clustering With an Unknown Number of Clusters 2022 Meitar Ronen
Shahaf E. Finder
Oren Freifeld
1
+ An inequality and associated maximization technique in statistical estimation of probabilistic functions of a Markov process 1972 Leonard E. Baum
1
+ Attention Is All You Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
1
+ A Consensual Linear Opinion Pool 2012 Arthur Carvalho
Kate Larson
1
+ PDF Chat Emergence of Scaling in Random Networks 1999 Albert‐László Barabási
Réka Albert
1