Alternatives and similar repositories for phd-thesis

Users that are interested in phd-thesis are comparing it to the libraries listed below

• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆228Updated 4 years ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆139Updated 5 years ago
• twitter-research / cwn
  Message Passing Neural Networks for Simplicial and Cell Complexes
  ☆163Updated 2 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆223Updated last month
• chrsmrrs / tudataset
  ☆96Updated 2 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆103Updated 3 years ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆58Updated 2 years ago
• snap-stanford / deepsnap
  Python library assists deep learning on graphs
  ☆566Updated last year
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆196Updated last year
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆48Updated 3 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• facebookresearch / PoincareMaps
  The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…
  ☆150Updated 4 years ago
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 4 years ago
• HazyResearch / hyperbolics
  Hyperbolic Embeddings
  ☆389Updated 2 years ago
• OpenBioLink / OpenBioLink
  OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
  ☆154Updated last year
• rish-16 / grafog
  Graph Data Augmentation Library for PyTorch Geometric
  ☆132Updated 3 years ago
• BorgwardtLab / WWL
  Wasserstein Weisfeiler-Lehman Graph Kernels
  ☆83Updated last year
• emilemathieu / pvae
  code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
  ☆128Updated last year
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 4 years ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆123Updated 3 years ago
• rusty1s / himp-gnn
  Hierarchical Inter-Message Passing for Learning on Molecular Graphs
  ☆80Updated 3 years ago
• AikyamLab / Expass
  Code for paper "Towards Training GNNs using Explanation Directed Message Passing"
  ☆16Updated 2 years ago
• snap-stanford / miner-data
  ☆64Updated 5 years ago
• DevinKreuzer / SAN
  ☆155Updated 4 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆95Updated 3 years ago
• HazyResearch / HoroPCA
  Hyperbolic PCA via Horospherical Projections
  ☆73Updated 2 years ago
• jajupmochi / graphkit-learn
  A python package for graph kernels, graph edit distances, and graph pre-image problem.
  ☆128Updated 3 months ago
• zjost / blog_code
  A repo for holding example code
  ☆157Updated 3 months ago
• twitter-research / feature-propagation
  ☆84Updated 3 years ago
• facebookresearch / GraphLog
  API for accessing the GraphLog dataset
  ☆90Updated last year