inria-thoth / csaLinks
Official Pytorch implementation of Chromatic Graph Transformers
☆10Updated 2 years ago
Alternatives and similar repositories for csa
Users that are interested in csa are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated last month
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆28Updated 10 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- ☆21Updated last year
- A library for subgraph GNN based on pyg☆41Updated 7 months ago
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Updated last year
- Edge-Augmented Graph Transformer☆50Updated 3 years ago
- Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"☆25Updated this week
- ☆20Updated 2 years ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆44Updated 6 months ago
- ☆31Updated last year
- Code for OGB competition☆12Updated last year
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆56Updated last year
- [Preprint] Graph State Space Convolution (GSSC)☆13Updated last year
- Triplet Graph Transformer☆44Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆43Updated 2 months ago
- The source code of "Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics"☆24Updated 10 months ago
- ☆13Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆37Updated last year
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆32Updated last year
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆42Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Official Pytorch implementation of NeuralWalker☆33Updated last year
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆62Updated last year
- Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model☆25Updated this week
- [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.☆21Updated last year
- The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024☆10Updated last year
- Official implementation for 'Sparse denoising diffusion for large graph generation'☆62Updated last year
- Graph Positional and Structural Encoder☆51Updated 5 months ago