joshpxyne / deep-hyperedgesLinks
New Algorithms for Learning on Hypergraphs
☆41Updated 3 years ago
Alternatives and similar repositories for deep-hyperedges
Users that are interested in deep-hyperedges are comparing it to the libraries listed below
Sorting:
- Source code for the paper UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks (IJCAI 2021).☆69Updated 4 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆41Updated 4 years ago
- A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …☆30Updated 3 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆31Updated last year
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/930271…☆65Updated 3 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆142Updated 6 months ago
- ☆21Updated last year
- NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs☆204Updated 4 years ago
- ☆31Updated last year
- tNodeEmbed☆79Updated 2 years ago
- ☆9Updated last year
- Code, datasets & supplementary for "Structural Patterns and Generative Models of Real-world Hypergraphs"☆31Updated 9 months ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆59Updated 4 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- A Persistent Weisfeiler–Lehman Procedure for Graph Classification☆61Updated 4 years ago
- Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)☆50Updated 3 years ago
- Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)☆60Updated 3 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- Implement of DiGCN, NeurIPS-2020☆47Updated 4 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- ☆95Updated 2 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 4 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆67Updated 3 years ago
- HDGI code☆62Updated 5 years ago