Alternatives and similar repositories for phd-thesis:

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

• gravins / NumGraph
  Synthetic graph generator
  ☆12Updated last year
• jacobdeasy / geometric-js
  ☆16Updated 3 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆220Updated 5 months ago
• crisbodnar / dgm
  Deep Graph Mapper: Seeing Graphs through the Neural Lens
  ☆55Updated last year
• chrsmrrs / tudataset
  ☆92Updated last year
• RECOVERcoalition / Recover
  Exploring the space of drug combinations to discover synergistic drugs using Active Learning
  ☆23Updated 6 months ago
• drewwilimitis / hyperbolic-learning
  Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
  ☆129Updated 4 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆47Updated 3 years ago
• eclypse-org / federact
  FedRay: a Research Framework for Federated Learning based on Ray
  ☆21Updated 2 months ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆100Updated 3 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆45Updated last year
• mims-harvard / graphml-tutorials
  Tutorials for Machine Learning on Graphs
  ☆216Updated 3 years ago
• FilippoMB / The-expressive-power-of-pooling-in-GNNs
  Code and dataset to test empirically the expressive power of graph pooling operators.
  ☆35Updated last year
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆86Updated last year
• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 3 years ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆120Updated 2 years ago
• AikyamLab / Expass
  Code for paper "Towards Training GNNs using Explanation Directed Message Passing"
  ☆16Updated last year
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆142Updated 3 years ago
• jctops / understanding-oversquashing
  ☆40Updated 2 years ago
• twitter-research / feature-propagation
  ☆79Updated 2 years ago
• facebookresearch / PoincareMaps
  The need to understand cell developmental processes has spawned a plethora of computational methods for discovering hierarchies from scRN…
  ☆147Updated 3 years ago
• gcorso / NeuroSEED
  Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)
  ☆72Updated last year
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆182Updated 8 months ago
• claying / GCKN
  Pytorch Implementation of Graph Convolutional Kernel Networks
  ☆54Updated 2 years ago
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆98Updated 2 years ago
• ml-jku / DeepRC
  DeepRC: Immune repertoire classification with attention-based deep massive multiple instance learning
  ☆117Updated last year
• davidbuterez / gnn-neural-readouts
  ☆27Updated last month
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆103Updated 5 years ago
• CharlotteMagister / GCExplainer
  ☆18Updated last year
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆94Updated 2 years ago