pbielak / pytorch_geometric_edgeLinks
Edge representation learning library
☆27Updated 3 years ago
Alternatives and similar repositories for pytorch_geometric_edge
Users that are interested in pytorch_geometric_edge are comparing it to the libraries listed below
Sorting:
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated 2 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- Temporal Graph Benchmark project repo☆244Updated 3 months ago
- ☆42Updated 3 years ago
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 3 years ago
- Code for our paper "Attending to Graph Transformers"☆91Updated 2 years ago
- Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)☆87Updated 2 years ago
- here you can find the material used for our Tutorials☆102Updated 4 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆205Updated last year
- Topological Graph Neural Networks (ICLR 2022)☆125Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆144Updated 11 months ago
- Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)☆16Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆163Updated 2 years ago
- Message Passing Neural Networks for Simplicial and Cell Complexes☆165Updated 2 years ago
- ☆98Updated 2 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated 2 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- A list for GNNs and related works.☆103Updated last month
- Implementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neur…☆38Updated 9 months ago
- ☆11Updated 2 years ago
- ☆86Updated 3 years ago
- ☆32Updated 2 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆90Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Updated 3 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆99Updated 2 years ago