Reverse Dependencies of dgl

The following projects have a declared dependency on dgl:

• adbdgl-adapter — Convert ArangoDB graphs to DGL & vice-versa.
• alignn — alignn
• benchscofi — Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.
• bird-cloud-gnn — Graph Neural Network for bird point cloud data
• complex-network-tools — A Python package for generating, learning, and analysis of complex networks.
• dbinfer-bench — no summary
• deepchem — Deep learning models for drug discovery, quantum chemistry, and the life sciences.
• deepmol — DeepMol: a python-based machine and deep learning framework for drug discovery
• deepneighbor — embedding-based item nearest neighborhoods extraction
• deepvelo — Deep Velocity
• doc2graph — Repo to transform Documents to Graphs, performing several tasks on them.
• easygraphs — A library for graph analysis, graph embedding and graph anomaly detection
• EasySL — Easy Save&Load (ESL) provides an automatic data management for Python.
• egc — Benchmark of Graph Clustering.
• embeddings-for-trees — Set of PyTorch modules for developing and evaluating different algorithms for embedding trees.
• espaloma-charge — no summary
• gleipnir-tcr — Gleipnir
• GNNSubNet — Disease Subnetwork Detection with Explainable Graph Neural Networks
• gqlalchemy — GQLAlchemy is a library developed to assist with writing and running queries in Memgraph.
• gqlalchemy-tailor — GQLAlchemy is a library developed to assist with writing and running queries in Memgraph. Upgraded networkx to 3.1.0.
• graph-datasets — Load graph datasets.
• graph-sc — Graph-sc
• graph4nlp — A DGL and PyTorch based graph deep learning library for natural language processing
• GraphFloris — Graph represented wind farm power simulator
• graphistry — A visual graph analytics library for extracting, transforming, displaying, and sharing big graphs with end-to-end GPU acceleration
• grnm — A comprehensive tool for gene regulatory network modeling.
• GSG — no summary
• GSLB — GSLB: Graph Structure Learning Benchmark
• jarvis-tools — jarvis-tools: an open-source software package for data-driven atomistic materials design. https://jarvis.nist.gov/
• machine-learning-with-graph — A comprehensive package for graph-based machine learning algorithms.
• malt.wangyq.net — no summary
• matgl — MatGL is a framework for graph deep learning for materials science.
• mgnn — MGNN is a reimplementation of MatErials Graph Network (MEGNet) and Materials 3-body Graph Networks (M3GNet) in Deep Graph Library (DGL).
• mlx-graphs — Graph Neural Network library made for Apple Silicon
• molfeat — molfeat - the hub for all your molecular featurizers
• mpdd-alignn — A version of the NIST-JARVIS ALIGNN optimized in terms of model performance and to some extent reliability, for large-scale deployments over the MPDD infrastructure by Phases Research Lab.
• mtbench — no summary
• nclustenv — Gym environments to learn biclustering and triclustering tasks using reinforcement learning.
• nclustgen — Tool to generate biclustering and triclustering datasets
• nfflr — neural force field learning toolkit
• page2struct — Repo to extract structure from document page.
• pc-skeletor — Point Cloud Skeletonizer
• photonai-graph — PHOTON Graph - Graph machine learning with photonai.
• pollychem — no summary
• pyTigerGraphBeta — Library to connect to TigerGraph databases
• scbig — scBiG for representation learning of single-cell gene expression data based on bipartite graph embedding
• spirograph — A tool to help building ML pipeline easier for non technical users..
• sportsml — ML for sports
• stroll-srl — Graph based semantic role labeler
• synthcity — Synthetic data generator and evaluator!
• tgml — ML Workbench
• tiktokx — The rhythm of algorithms, dancing through recommendation streams.
• tree-lstm — pytorch tree lstm package
• udao — no summary
• vegvisir — Vegvisir