GEM Alternatives

Similar projects and alternatives to GEM based on common topics and language

cleora

8 472 2.4 Jupyter Notebook GEM VS cleora

Cleora AI is a general-purpose model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data.
LAGraph

3 221 8.2 C GEM VS LAGraph

This is a library plus a test harness for collecting algorithms that use the GraphBLAS. For test coverage reports, see https://graphblas.org/LAGraph/ . Documentation: https://lagraph.readthedocs.org
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
sursis

2 23 0.0 Python GEM VS sursis

A [personal]<-[notebook]->[network]. Complete with custom numerics for constrained Gaussian gravitation physics.
node2vec-c

1 50 0.0 C++ GEM VS node2vec-c

node2vec implementation in C++
karateclub

1 2,086 7.0 Python GEM VS karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
awesome-graph-classification

1 4,698 1.0 Python GEM VS awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.
pytorch_geometric_temporal

18 2,484 1.8 Python GEM VS pytorch_geometric_temporal

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better GEM alternative or higher similarity.

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GEM reviews and mentions

Posts with mentions or reviews of GEM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-04.

[D] Why I'm Lukewarm on Graph Neural Networks
4 projects | /r/MachineLearning | 4 Jan 2021

Besides, they implemented a fast C++ version of the code that works for much larger graphs. If one searches for ProNE's implementation, they would (hypothetically) find the scikit-style wrapper instead of the fully-functional release. It reminds me of a situation with HOPE, when authors of one survey "implemented" it as naive SVD (https://github.com/palash1992/GEM/blob/master/gem/embedding/hope.py#L68) instead of Jacobi-Davidson generalized solver described in the paper (and literally with code released!!). In the end, I would assume that poor paper was less cited because of that repackaging effort.