Alternatives and similar repositories for csa

Users that are interested in csa are comparing it to the libraries listed below

• qslim / PDF
  Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
  ☆12Updated last year
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago
• networkslab / CKGConv
  The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)
  ☆26Updated 9 months ago
• shamim-hussain / egt
  Edge-Augmented Graph Transformer
  ☆50Updated 2 years ago
• toenshoff / LRGB
  ☆21Updated last year
• LUOyk1999 / HDSE
  [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"
  ☆14Updated 5 months ago
• BenGutteridge / DRew
  ☆31Updated last year
• HICAI-ZJU / iMoLD
  Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
  ☆21Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 5 months ago
• zhao-ht / GIMLET
  The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
  ☆61Updated last year
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆31Updated last year
• qym7 / SparseDiff
  Official implementation for 'Sparse denoising diffusion for large graph generation'
  ☆58Updated 11 months ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆20Updated last year
• GRAPH-0 / CDGS
  Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
  ☆33Updated last year
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker
  ☆31Updated 11 months ago
• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆36Updated last year
• skeletondyh / GRED
  [ICML 2024] Recurrent Distance Filtering for Graph Representation Learning
  ☆14Updated 11 months ago
• CRIPAC-DIG / tgm-dlm
  Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model
  ☆24Updated 9 months ago
• BingSu12 / MoMu
  ☆22Updated 2 years ago
• Graph-COM / GSSC
  [Preprint] Graph State Space Convolution (GSSC)
  ☆13Updated 11 months ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆23Updated last year
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆56Updated last year
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆42Updated last month
• IDEA-XL / InstructMol
  InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)
  ☆47Updated 5 months ago
• null-xyj / CoBFormer
  Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
  ☆42Updated 11 months ago
• GLAD-RUC / FastEGNN
  Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"
  ☆25Updated 4 months ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆45Updated 8 months ago
• chr26195 / GKD
  The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to N…
  ☆21Updated last year
• shamim-hussain / tgt
  Triplet Graph Transformer
  ☆42Updated 11 months ago
• ChnQ / LLM4Mol
  Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"
  ☆38Updated last year