Alternatives and similar repositories for csa

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

• networkslab / CKGConv
  The official implementation of ``CKGConv: General Graph Convolution with Continuous Kernels'' (ICML 2024)
  ☆32Updated last year
• toenshoff / LRGB
  ☆25Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆128Updated 5 months ago
• BenGutteridge / DRew
  ☆32Updated 2 years ago
• zhao-ht / GIMLET
  The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
  ☆66Updated last year
• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆40Updated last year
• SXKDZ / MARCEL
  [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles
  ☆44Updated 2 years ago
• HICAI-ZJU / iMoLD
  Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)
  ☆22Updated 2 years ago
• MinkaiXu / EGNO
  ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics
  ☆60Updated last year
• RomanBresson / KAGNN
  This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
  ☆52Updated 2 months ago
• Chen-Cai-OSU / MPNN-GT-Connection
  ☆21Updated 2 years ago
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆40Updated last year
• qslim / PDF
  Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
  ☆13Updated 2 years ago
• Graph-COM / LRI
  [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
  ☆24Updated 2 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆54Updated last year
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆33Updated last year
• LUOyk1999 / HDSE
  [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"
  ☆16Updated 8 months ago
• jw9730 / ehnn
  [ECCV'22] Equivariant Hypergraph Neural Networks, in PyTorch
  ☆30Updated 2 years ago
• O-GNN / O-GNN
  ☆14Updated 2 years ago
• GLAD-RUC / FastEGNN
  Source code of "Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning"
  ☆29Updated 7 months ago
• azminewasi / Awesome-Graph-Research-ICLR2025
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆43Updated 11 months ago
• BorgwardtLab / NeuralWalker
  Official Pytorch implementation of NeuralWalker (ICLR 2025)
  ☆38Updated 7 months ago
• IDEA-XL / InstructMol
  InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery (COLING 2025)
  ☆52Updated last year
• shamim-hussain / tgt
  Triplet Graph Transformer
  ☆50Updated 4 months ago
• Data-reindeer / MolScaling
  Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).
  ☆14Updated 2 years ago
• liugangcode / Data-Centric-Transfer
  [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…
  ☆22Updated 7 months ago
• zhangxwww / HyperFusion
  Code for OGB competition
  ☆12Updated last year
• shamim-hussain / egt
  Edge-Augmented Graph Transformer
  ☆51Updated 3 years ago
• LingxiaoShawn / Pard
  Permutation-Invariant Autoregressive Diffusion (NeurIPS 2024)
  ☆23Updated last year
• CRIPAC-DIG / tgm-dlm
  Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model
  ☆29Updated 7 months ago