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Type: User
Company: Micrososft
Bio: Data Mining, Machine Learning
Type: User
Company: Micrososft
Bio: Data Mining, Machine Learning
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
A curated list of awesome embedding models tutorials, projects and communities.
A curated list of data mining papers about fraud detection.
A curated list of network embedding techniques.
Ceph is a distributed object, block, and file storage platform
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Source code for experiments in the papers "Complex Embeddings for Simple Link Prediction" (ICML 2016) and "Knowledge Graph Completion via Complex Tensor Factorization" (JMLR 2017).
Implementation of DFS & BFS Crawler: Neo4j, Redis and Docker
Data Lake Designing with Google Cloud Platform (GCP) and Open Sources Tools
Dockerize an Apache Flink Application using Docker and Docker-Compose
Keras implementation for Deep Embedding Clustering (DEC)
Deep Embedding Clustering in Keras
Graph convolutional neural network for multirelational link prediction
Open source text annotation tool for machine learning practitioner.
Easy & Quick : Docker services are using hyperopt in parallel on top of Mongodb
Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
entity2rec generates item recommendation using property-specific knowledge graph embeddings
Source code for EvalNE, a Python library for evaluating Network Embedding methods on Link Prediction tasks.
Emulator and proxy container for Google Cloud Platofrm for pubsub and datastore emulators
Graph Embedding via Frequent Subgraphs
Repository for Gephi Plugins maintained by the team. Each plugin has it's branch.
Simplified Google Cloud Pub/Sub Service in Java
Autoencoders for Unsupervised Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
Lectures for INFO8006 - Introduction to Artificial Intelligence, ULiège
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.