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08/17/2023
Interpretable Graph Neural Networks for Tabular Data
Data in tabular format is frequently occurring in real-world application...
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08/06/2023
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series
Irregularly sampled multivariate time series are ubiquitous in several a...
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08/01/2023
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation
Classical recommender systems often assume that historical data are stat...
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07/27/2023
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
Time series forecasting lies at the core of important real-world applica...
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07/25/2023
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers
The complex nature of big biological systems pushed some scientists to c...
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07/11/2023
Supervised Attention Using Homophily in Graph Neural Networks
Graph neural networks have become the standard approach for dealing with...
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06/09/2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks
Graph neural networks (GNNs) have recently become the standard approach ...
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04/21/2023
What Do GNNs Actually Learn? Towards Understanding their Representations
In recent years, graph neural networks (GNNs) have achieved great succes...
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04/03/2023
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model
The era of transfer learning has revolutionized the fields of Computer V...
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02/12/2023
Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia
Alzheimer's dementia (AD) affects memory, thinking, and language, deteri...
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01/20/2023
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction
The identification of cancer genes is a critical, yet challenging proble...
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11/08/2022
Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank
Graph Neural Networks (GNNs) have achieved great successes in many learn...
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11/04/2022
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations
In recent years, graph neural networks (GNNs) have emerged as a promisin...
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10/31/2022
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
The topic of summarization evaluation has recently attracted a surge of ...
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10/12/2022
DATScore: Evaluating Translation with Data Augmented Translations
The rapid development of large pretrained language models has revolution...
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10/11/2022
Word Sense Induction with Hierarchical Clustering and Mutual Information Maximization
Word sense induction (WSI) is a difficult problem in natural language pr...
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08/08/2022
Abstractive Meeting Summarization: A Survey
Recent advances in deep learning, and especially the invention of encode...
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07/27/2022
Time Series Forecasting Models Copy the Past: How to Mitigate
Time series forecasting is at the core of important application domains ...
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05/27/2022
Image Keypoint Matching using Graph Neural Networks
Image matching is a key component of many tasks in computer vision and i...
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04/15/2022
Political Communities on Twitter: Case Study of the 2022 French Presidential Election
With the significant increase in users on social media platforms, a new ...
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03/21/2022
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization
Like most natural language understanding and generation tasks, state-of-...
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01/04/2022
Exploratory Analysis of Academic Collaborations between French and US
International academic collaborations cultivate diversity in the researc...
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12/01/2021
NLP Research and Resources at DaSciM, Ecole Polytechnique
DaSciM (Data Science and Mining) part of LIX at Ecole Polytechnique, est...
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10/16/2021
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation
Fast and reliable evaluation metrics are key to R D progress. While tr...
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10/04/2021
JuriBERT: A Masked-Language Model Adaptation for French Legal Text
Language models have proven to be very useful when adapted to specific d...
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09/21/2021
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
We introduce BERTweetFR, the first large-scale pre-trained language mode...
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09/04/2021
Node Feature Kernels Increase Graph Convolutional Network Robustness
The robustness of the much-used Graph Convolutional Networks (GCNs) to p...
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09/02/2021
Sparsifying the Update Step in Graph Neural Networks
Message-Passing Neural Networks (MPNNs), the most prominent Graph Neural...
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08/10/2021
Learning to Maximize Influence
As the field of machine learning for combinatorial optimization advances...
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08/02/2021
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders
On an artist's profile page, music streaming services frequently recomme...
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05/05/2021
Evaluation Of Word Embeddings From Large-Scale French Web Content
Distributed word representations are popularly used in many tasks in nat...
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02/17/2021
Ego-based Entropy Measures for Structural Representations on Graphs
Machine learning on graph-structured data has attracted high research in...
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02/15/2021
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings
Words are malleable objects, influenced by events that are reflected in ...
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01/25/2021
Learning Parametrised Graph Shift Operators
In many domains data is currently represented as graphs and therefore, t...
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10/23/2020
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
Inductive transfer learning, enabled by self-supervised learning, have t...
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09/10/2020
United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting
The recent outbreak of COVID-19 has affected millions of individuals aro...
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08/27/2020
Predicting conversions in display advertising based on URL embeddings
Online display advertising is growing rapidly in recent years thanks to ...
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06/11/2020
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France
Artificial Intelligence techniques are already popular and important in ...
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04/16/2020
Hcore-Init: Neural Network Initialization based on Graph Degeneracy
Neural networks are the pinnacle of Artificial Intelligence, as in recen...
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04/06/2020
Speaker-change Aware CRF for Dialogue Act Classification
Recent work in Dialogue Act (DA) classification approaches the task as a...
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03/23/2020
Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings
The number of senses of a given word, or polysemy, is a very subjective ...
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03/02/2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs
Neural networks for structured data like graphs have been studied extens...
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03/01/2020
Ego-based Entropy Measures for Structural Representations
In complex networks, nodes that share similar structural characteristics...
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02/05/2020
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding
Graph autoencoders (AE) and variational autoencoders (VAE) are powerful ...
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01/21/2020
Simple and Effective Graph Autoencoders with One-Hop Linear Models
Graph autoencoders (AE) and variational autoencoders (VAE) recently emer...
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12/10/2019
An Ensemble Method for Producing Word Representations for the Greek Language
In this paper we present a new ensemble method, Continuous Bag-of-Skip-g...
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10/02/2019
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks
Graph autoencoders (AE) and variational autoencoders (VAE) recently emer...
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08/17/2019
Revisiting the Graph Isomorphism Problem with Semidefinite Programming
We present a new algorithm for the graph isomorphism problem which solve...
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08/17/2019
Message Passing Attention Networks for Document Understanding
Most graph neural networks can be described in terms of message passing,...
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08/16/2019