358 Open source projects that are alternatives of or similar to cskg

Reasoning Over Knowledge Graph Paths for Recommendation

EMNLP 2019: CaRe: Open Knowledge Graph Embeddings

entity2rec generates item recommendation using property-specific knowledge graph embeddings

WWW 2018: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information

Using efficientnet to provide embeddings for retrieval

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

Chronic Disease Prediction Using Medical Notes

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

Making sense embedding out of word embeddings using graph-based word sense induction

Creating word embeddings from scratch and visualize them on TensorBoard. Using trained embeddings in Keras.

📖 Project Docs / Knowledge Base template for Hugo Website Builder. 创建项目文档

Image to dense vector embedding. Clone of https://github.com/christiansafka/img2vec for Keras users

Evaluate your word embeddings

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

Keras implementation of path-based link prediction model for knowledge graph completion

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Subgraph Neural Networks (NeurIPS 2020)

graph embeddings for neo4j in python

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Tool for interactive embeddings visualization

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Reference implementation of the paper "Word Embeddings for Entity-annotated Texts"

Probabilistic Dialogue Act Classification for the Switchboard Corpus using an LSTM model

a contextual, biasable, word-or-sentence-or-paragraph extractive summarizer powered by the latest in text embeddings (Bert, Universal Sentence Encoder, Flair)

an Ontology SDK

知识图谱初探，关系抽取，实体抽取，基于kb的问答，基于es的问答，知识图谱可视化

Tools for working with KGCL

Web-component for creating & showing VSM-sentences — Visual Syntax Method

Code and Data for paper: Zero-shot Visual Question Answering using Knowledge Graph [ ISWC 2021 ]

中国娱乐圈关系挖掘，可以快速的查询明星之间的关系。This is a complex network of course assignments. The realization of the relationship analysis and visualization of China's entertainment industry, you can quickly query the relationship between the stars

Simple library to work with pre-trained ELMo models in TensorFlow

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Toolkit to help understand "what lies" in word embeddings. Also benchmarking!

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information

Node.js application to extract the knowledge represented in Google infoboxes (aka Google Knowlege Graph Panel)

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

LD Connect is a Linked Data portal for IOS Press in collaboration with the STKO Lab at UC Santa Barbara.

Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.

PLDB: a Programming Language Database. A public domain knowledge graph focused on programming languages distributed as a CSV file.

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中文预训练模型生成字向量学习，测试BERT，ELMO的中文效果

Representing research papers as vectors / latent representations.

KGX is a Python library for exchanging Knowledge Graphs

Word Embeddings for Information Retrieval

Transformer-based Memory Networks for Knowledge Graph Embeddings (ACL 2020) (Pytorch and Tensorflow)

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Named-Entity Recognition in Persian Language

Rich Context leaderboard competition, including the corpus and current SOTA for required tasks.

Graph databases, Knowledge Graphs, SPARQ

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Basic Utilities for PyTorch Natural Language Processing (NLP)

The semantic desktop search engine

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

Improving cross-lingual word embeddings by meeting in the middle

Memory for Knowledge Graph, using Neo4j. 知识图谱存储与查询。