HekpoMaH / algorithmic-concepts-reasoningLinks
☆25Updated 4 years ago
Alternatives and similar repositories for algorithmic-concepts-reasoning
Users that are interested in algorithmic-concepts-reasoning are comparing it to the libraries listed below
Sorting:
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- ☆31Updated 2 years ago
- ☆28Updated 4 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆97Updated 3 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- ☆155Updated 4 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 4 years ago
- ☆62Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆85Updated last year
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Graph Positional and Structural Encoder☆53Updated 9 months ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated last year
- Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"☆25Updated 2 years ago
- ☆19Updated last year
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- ☆42Updated 3 years ago
- Code for Graph Normalizing Flows.☆63Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 4 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Gradient gating (ICLR 2023)☆55Updated 2 years ago
- SignNet and BasisNet☆101Updated 2 years ago