Alternatives and similar repositories for sheaf_kg:

Users that are interested in sheaf_kg are comparing it to the libraries listed below

• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆51Updated 9 months ago
• giuliacassara / awesome-hypergraph-learning
  A curated list of awesome Hypergraph Learning frameworks, libraries and software.
  ☆22Updated last year
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated 2 months ago
• DeepGraphLearning / InductiveQE
  Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)
  ☆48Updated 2 years ago
• beabevi / SUN
  Understanding and Extending Subgraph GNNs by Rethinking their Symmetries (NeurIPS 2022 Oral)
  ☆41Updated 2 years ago
• danilonumeroso / conar
  Official code for the paper `Neural Algorithmic Reasoning for Combinatorial Optimisation`
  ☆17Updated last year
• clabat9 / Tangent-Bundle-Neural-Networks
  Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"
  ☆11Updated 2 years ago
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆79Updated last week
• KaroliShp / CatGNN
  Prototype for a Category Theory-based GNN Library
  ☆14Updated 2 years ago
• twitter-research / neural-sheaf-diffusion
  ☆74Updated last year
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆68Updated 2 years ago
• thiviyanT / IntelliGraphs
  IntelliGraphs is a collection of graph datasets for benchmarking generative models for knowledge graphs.
  ☆16Updated last month
• konstantinosKokos / ape
  🧮 Algebraic Positional Encodings.
  ☆12Updated 3 months ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 4 months ago
• AdrianBZG / HyperBERT
  Code for "HyperBERT: Mixing Hypergraph-Aware Layers with Language Models for Node Classification on Text-Attributed Hypergraphs" (EMNLP 2…
  ☆20Updated last week
• XiaoxinHe / tape_arxiv_2023
  ☆35Updated last year
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆14Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆85Updated last year
• DimitrisAlivas / StarQE
  Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"
  ☆31Updated 10 months ago
• aidos-lab / orchid
  Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)
  ☆18Updated last year
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated 11 months ago
• iDEA-iSAIL-Lab-UIUC / pyg-ssl
  Graph Self-Supervised Learning Toolkit
  ☆31Updated 3 weeks ago
• VirtuosoResearch / Generalization-in-graph-neural-networks
  Measuring generalization properties of graph neural networks
  ☆15Updated last year
• arangoml / fastgraphml
  Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
  ☆68Updated 10 months ago
• yuwvandy / Large-Graph-Generative-Model
  ☆27Updated 9 months ago
• hypergraphlab / Hypergraph-Tutorial
  ☆58Updated 8 months ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆78Updated 4 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated 9 months ago
• cat-list / cat-list.github.io
  Computational and Applied Topology List
  ☆21Updated 2 months ago
• DeepGraphLearning / AStarNet
  Official implementation of A* Networks
  ☆142Updated last year