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Search results for network embeddings

69 search results found

Siamese Triplet ⭐ 2,853

Siamese and triplet networks with online pair/triplet mining in PyTorch

Awesome Network Embedding ⭐ 2,218

A curated list of network embedding techniques.

Nlp Journey ⭐ 1,563

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Capsgnn ⭐ 1,180

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Nlp_overview ⭐ 958

Overview of Modern Deep Learning Techniques Applied to Natural Language Processing

LINE: Large-scale information network embedding

Paperlist For Recommender Systems ⭐ 334

Recommender Systems Paperlist that I am interested in

Aquiladb ⭐ 311

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

Matchingnetworks ⭐ 269

An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf

Link Prediction ⭐ 216

Representation learning for link prediction within social networks

Deep Qa ⭐ 193

Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

Graphwavemachine ⭐ 171

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

Cnn Sentence Classifier ⭐ 135

Implementation of "Convolutional Neural Networks for Sentence Classification" paper

Dynamic Coattention Network Plus ⭐ 115

Dynamic Coattention Network Plus (DCN+) TensorFlow implementation. Question answering using Deep NLP.

Parametricumap_paper ⭐ 112

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

ICE: Item Concept Embedding

Awesome Recommender System ⭐ 69

The collection of papers about recommender system

Label Embedding Network ⭐ 68

Label Embedding Network

Graphml Tutorials ⭐ 63

Tutorials for Machine Learning on Graphs

Entity Network ⭐ 58

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

Node2vec ⭐ 57

Node2vec with tensorflow

Entity_embeddings_categorical ⭐ 54

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

Embeddingdistillation ⭐ 53

Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)

Causal Network Embeddings ⭐ 48

Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"

PRUNE: Preserving Proximity and Global Ranking for Network Embedding

Relation Network ⭐ 43

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

Embedder ⭐ 41

Embed categorical variables via neural networks.

Network Embedding Resources ⭐ 41

Network Embedding Survey and Resources

Neural network transition-based dependency parser (in Rust)

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCN 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Latti

Line Clustering and Description for Place Recognition

Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images

Rnn_sent ⭐ 34

Recurrent neural networks and Dynamic memory networks for sentiment classification

Code to train and use models from "Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings"

OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080

Neuralnetworks_course ⭐ 31

Laughter ⭐ 30

Learning embeddings for laughter categorization

Infnet Spen ⭐ 30

TensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"

Mercator ⭐ 28

Inference of high-quality embeddings of complex networks into the hyperbolic disk.

Topologic ⭐ 25

A python library for intelligently building networks and network embeddings, and for analyzing connected data.

BourGAN: Generative Networks with Metric Embeddings

Hybrid Multi-Aspect Alignment Networks

Deepideology ⭐ 17

Scale ideological slant of Tweets

Universal Graph Embedding Neural Network ⭐ 17

Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

Paperhighlights ⭐ 15

I read papers, and here are my highlights.

A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)

Convolution Neural Network for classification of semantic relations in a sentence

Qnn_torch ⭐ 14

Hyperbolic Embedding ⭐ 11

Learning neural network embeddings in hyperbolic spaces

Network Embedding ⭐ 11

Open Resources For network embedding

dmne is an algorithm to learn node representations from multi-network data.

実装するリスト

Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method

Embeddingnet ⭐ 9

Embeddings learning using Siamese and Triplets for image classification

Like2Vec is a neaborhood based recommendation algorithm that uses network embeddings to create latent representations of transactional history

Graph Embeddings For Recommender Systems ⭐ 8

In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not yet rated. Like the Spark recommender from the first project, we will use a collaborative filtering model to explore this problem. Recall that in this model, the goal is to find the sentiment of a user about a particular item Unlike the the first project that used the ALS method, however, we will perform this task using a graphbased technique called DeepWalk.

Moleculartransformerembeddings ⭐ 8

Code and data for the Transformer neural network trained to translate between molecular text representations and create molecular embeddings.

Convolutional Embedded Networks ⭐ 7

Convolutional Embedded Networks for Population Scale Clustering and Bio-ancestry Inferencing

Awesome Embedding ⭐ 7

Paper list for Network Embedding, Knowledge Base Embedding, Graph Neural Networks

Conditional Similarity Networks Tensorflow ⭐ 7

Conditional Similarity Networks (CSNs-Tensorflow)

A MUlti-species Network Kernel algorithm to embed proteins from a target network into a source network, creating cross-species representations for various comparative and predictive tasks

Graph Embeddings For Recommender Systems ⭐ 6

Edge Enhanced Embeddings ⭐ 6

Code for the CIKM 2018 Paper "Enhanced Network Embeddings via Exploiting Edge Labels"

Python implementation of node2vec to generate node embeddings in a graph

Asc_triplet ⭐ 6

triplet loss on Acoustic Scene Classification-PyTorch

Rlfordiffpred ⭐ 6

Source code and replication steps for "Predicting Diffusion Reach Probabilities via Representation Learning on Social Networks"

Neural drafting in Dota 2. We did it before Dota+, and I think it works better :P

This package is used to calculate the Strain Elevation Tension Spring embedding (SETSe) for networks in R

Neural Poet ⭐ 5

Poetry sampled from a Recurrent Neural Network language model

Python implementation of DNGR model (Deep Neural Networks for Graph Representations)

Medicaldataaugmentationtool Celltracking ⭐ 5

Graphembs ⭐ 5

Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification

Dscnn_document ⭐ 5

Uge Unbiased Graph Embedding ⭐ 5

This is the code for paper "Unbiased Graph Embedding with Biased Graph Observations" accepted by WWW'22.

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