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:
- ☆31Updated last year
- ☆22Updated last year
- The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)☆31Updated last year
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆15Updated 4 months ago
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆43Updated 2 years ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆57Updated last year
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆62Updated last year
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆127Updated last month
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆21Updated last year
- ☆21Updated 2 years ago
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆33Updated last year
- The implementation of the paper: Clifford Group Equivariant Simplicial Message Passing Networks @ ICLR2024☆10Updated last year
- Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"☆27Updated 3 months ago
- ☆24Updated 2 years ago
- A library for subgraph GNN based on pyg☆40Updated 9 months ago
- Triplet Graph Transformer☆46Updated last week
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆34Updated 2 years ago
- Code for IJCAI'24 paper: Gradformer: Graph Transformer with Exponential Decay☆46Updated 9 months ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆39Updated last year
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Updated 2 years ago
- Edge-Augmented Graph Transformer☆80Updated last year
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆41Updated 7 months ago
- Graph Positional and Structural Encoder☆53Updated 8 months ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆44Updated 5 months ago
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆21Updated 3 months ago
- [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch☆30Updated 2 years ago
- The source code of "Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics"☆24Updated last year
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆85Updated 3 months ago
- Code for OGB competition☆12Updated last year
- InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)☆50Updated 9 months ago