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:
- ☆28Updated 3 years ago
- ☆31Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆89Updated 2 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆95Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- ☆155Updated 4 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 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
- Wasserstein Weisfeiler-Lehman Graph Kernels☆83Updated 11 months ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- ☆62Updated 4 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆40Updated 2 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆34Updated 4 years ago
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆21Updated last year
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Graph Positional and Structural Encoder☆53Updated 7 months ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 4 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- ☆19Updated last year
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 3 years ago
- Code for Graph Normalizing Flows.☆63Updated 5 years ago
- ☆41Updated 3 years ago
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆36Updated last year