dgl
RecBole
dgl | RecBole | |
---|---|---|
4 | 3 | |
13,018 | 3,181 | |
0.8% | 1.4% | |
9.9 | 8.2 | |
5 days ago | 12 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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dgl
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[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.
For graph embeddings, there's quite a few. I'd recommend this one, but there's also this one (disclaimer: I'm the author) or this one, more of a DGL library.
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Detecting Out-of-Distribution Datapoints via Embeddings or Predictions
For trees/graphs, you’ll want a neural net that can take these as inputs for which I’m not sure a standard library exists. One recommendation is to checkout dgl: https://github.com/dmlc/dgl
- Beyond Message Passing: A Physics-Inspired Paradigm for Graph Neural Networks
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[D] Convenient libs to use for new research project at the intersection of GNN and RL.
The best pkg for GCN - https://github.com/dmlc/dgl
RecBole
- RecBole – A unified, comprehensive and efficient recommendation library
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Observe differences in the behavior of recommendation models using RecBole
RecBole seems to be a joint project started by the laboratories of Renmin University of China and Peking University, and it appeared on arxiv in November 2020. In August 2021, the module that we provide reached v1.0, and it seems to be used by various people in earnest.
- Help with discussion on GitHub (Python)
What are some alternatives?
pytorch_geometric - Graph Neural Network Library for PyTorch
implicit - Fast Python Collaborative Filtering for Implicit Feedback Datasets
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
TensorRec - A TensorFlow recommendation algorithm and framework in Python.
torchdrug - A powerful and flexible machine learning platform for drug discovery
PFoodReq - Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"
spektral - Graph Neural Networks with Keras and Tensorflow 2.
RecSysDatasets - This is a repository of public data sources for Recommender Systems (RS).
deep_gcns_torch - Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
recommendation-algorithm - Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.