Étiquette : Graph
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1907.10903 DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
https://arxiv.org/abs/1907.10903
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Feature Propagation is a simple and surprisingly efficient solution for learning on graphs with missing node features | by Michael Bronstein | Feb, 2022 | Towards Data Science
https://towardsdatascience.com/learning-on-graphs-with-missing-features-dd34be61b06
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Implement Your Own Music Recommender with Graph Neural Networks (LightGCN)
https://medium.com/@benalex/implement-your-own-music-recommender-with-graph-neural-networks-lightgcn-f59e3bf5f8f5 Implement Your Own Music Recommender with Graph Neural Networks (LightGCN) By Ben Alexander, Jean-Peic Chou, and Aman Bansal for Stanford CS224W. medium.com
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Yale University and IBM Researchers Introduce Kernel Graph Neural Networks (KerGNNs) – MarkTechPost
https://www.marktechpost.com/2022/01/07/yale-university-and-ibm-researchers-introduce-kernel-graph-neural-networks-kergnns/
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SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
https://arxiv.org/abs/2007.08954 [2007.08954] SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression – arXiv.org Obtaining training data for multi-document summarization (MDS) is time consuming and resource-intensive, so recent neural models can only be trained for limited domains. In this paper, we propose SummPip: an unsupervised method for multi-document summarization, in which we convert the original documents to…
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Deep learning on graph for nlp
https://drive.google.com/file/d/1A9Gtzyan4tqFTgmNsNfwOkO4ELR77iNh/view
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Infographic: Sentiment Scale Reveals Which Words Pack the Most Punch
https://www.visualcapitalist.com/word-sentiment-scale/
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neo4j/graphql: A GraphQL to Cypher query execution layer for Neo4j and JavaScript GraphQL implementations.
https://github.com/neo4j/graphql
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SEO Turns to Data Graphs to Learn About the Web – Go Fish Digital
https://gofishdigital-com.cdn.ampproject.org/c/s/gofishdigital.com/data-graph/amp/
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Language Models are Open Knowledge Graphs .. but are hard to mine!
https://towardsdatascience.com/language-models-are-open-knowledge-graphs-but-are-hard-to-mine-13e128f3d64d Language Models are Open Knowledge Graphs .. but are hard to mine! Join me as I dive into the latest research on creating knowledge graphs using transformer based language models towardsdatascience.com
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Data Science Infographic
https://github.com/dataprofessor/infographic GitHub – dataprofessor/infographic: Infographic Number Title Preview YouTube Video; 01: Building the Machine Learning Model. Construindo um Modelo Supervisionado de Machine Learning (Portugese Translation of "Building the Machine Learning Model") github.com
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GitHub – graphdeeplearning/graphtransformer: Source code for « A Generalization of Transformer Networks to Graphs », DLG-AAAI’21.
We propose a generalization of transformer neural network architecture for arbitrary graphs: Graph Transformer. https://github.com/graphdeeplearning/graphtransformer
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GPolS: A Contextual Graph-Based Language Model for Analyzing Parliamentary Debates and Political Cohesion – ACL Anthology
https://www.aclweb.org/anthology/2020.coling-main.426/!~OMSelectionMarkerStart~!!~OMSelectionMarkerEnd~!
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Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph
https://github.com/cdjhz/multigen GitHub – cdjhz/multigen: Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph – cdjhz/multigen github.com
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GitHub – uma-pi1/kge: LibKGE – A knowledge graph embedding library for reproducible research
https://github.com/uma-pi1/kge
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Deep Learning on Graphs
http://cse.msu.edu/~mayao4/dlg_book/
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Plotly Python Open Source Graphing Library
https://plotly.com/python/#ai_ml Plotly Python Graphing Library | Python | Plotly Interactive Data Analysis with FigureWidget ipywidgets. View Tutorial. Click Events plotly.com
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GitHub – AkariAsai/learning_to_retrieve_reasoning_paths: The official implementation of ICLR 2020, « Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering ».
https://github.com/AkariAsai/learning_to_retrieve_reasoning_paths
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GitHub – graphbrain/graphbrain: Language, Knowledge, Cognition
https://github.com/graphbrain/graphbrain
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Introducing PyTorch BigGraph – Towards Data Science
https://towardsdatascience.com/introducing-pytorch-biggraph-4aeaec1559ec