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Search results for graph embeddings

102 search results found

Network Embedding ⭐ 11

Open Resources For network embedding

Domain Adaptation ⭐ 11

Domain Adaptation with Adversarial Training and Graph Embeddings

Code to use Neighbor Based Node Embeddings (NBNE) method to create representations to nodes in a graph.

Yassqueendb ⭐ 10

Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀

Graphrec ⭐ 10

(GraphRec) Attribute-aware non-linear co-embeddings of graph features, RecSys 2019

Inner product natural graph factorization machine used in 'GEMSEC: Graph Embedding with Self Clustering' .

Nodesketch ⭐ 10

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

Event Kge ⭐ 9

Knowledge Graph Embeddings with optional event semantics

Implementation of ConvE proposed by Dettmers et al. in Convolutional 2D Knowledge Graph Embeddings.

Torch Rgcn ⭐ 9

A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).

SIMBA: SIngle-cell eMBedding Along with features

Mednorm Corpus ⭐ 9

Kgepapers ⭐ 8

Must-read papers on Knowledge Graph Embedding

Deeppathwithtensorforce ⭐ 8

DeepPath - A Deep Reinforcement Learning Method for Knowledge Graph Reasoning using TensorForce

Zero_shot_action_reco_stgcn ⭐ 8

Zero shot action recognition using spatial temporal graph convolutional networks

Feature Comparison Clustering ⭐ 7

Comparing Audio Features for Unsupervised Sound Classification

Interpreting Word2vec ⭐ 7

Graphmodel ⭐ 7

Large Scale Graphical Model

Dlnlp Papernotes ⭐ 6

Summaries and notes on Deep Learning research papers in natural language processing(NLP) domain.

Cdt Ccm Aae ⭐ 6

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)

Kge Server ⭐ 6

Knowledge Graphs Embedding server. Docs available at:

Strap Git ⭐ 6

Python implementation of node2vec to generate node embeddings in a graph

The code and documentation for geo-contextual multitask embedding learner

Code supporting the paper Graph-Embedding Empowered Entity Retrieval

Akbc 2017 Paper 14 ⭐ 5

Code to reproduce results in "Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs", AKBC 2017

Embedding Visualization ⭐ 5

This is a project for visualizing word embeddings based on the work of Andrei Kashcha (@anvaka).

Knowledge graph Entity and Word Embeddings for Retrieval

Pathway2vec ⭐ 5

Leveraging Heterogeneous Network Embedding for Metabolic Pathway Prediction

Graphembs ⭐ 5

Unsupervised Network Embeddings for Graph Visualization, Clustering and Classification

Inorg Synth Graph ⭐ 5

Inorganic Reaction Prediction

Uge Unbiased Graph Embedding ⭐ 5

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

Graph clustering and Node embeddings with word2vec

Fast, large scale library for computing rankings and features based on various pairwise and graph algorithms

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

Code for paper: Software clusterings with vector semantics and the call graph

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