Alternatives and similar repositories for Awesome-Graph-Research-ICLR2025

Users that are interested in Awesome-Graph-Research-ICLR2025 are comparing it to the libraries listed below

• azminewasi / Awesome-Graph-Research-NeurIPS2024
  All graph/GNN papers accepted at NeurIPS 2024.
  ☆83Updated 9 months ago
• datamol-io / graphium
  Graphium: Scaling molecular GNNs to infinity.
  ☆234Updated 3 months ago
• SXKDZ / MARCEL
  [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles
  ☆43Updated 2 years ago
• graphcore / ogb-lsc-pcqm4mv2
  The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …
  ☆79Updated last year
• HannesStark / 3DInfomax
  Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
  ☆169Updated last year
• AlexDuvalinho / geometric-gnns
  List of Geometric GNNs for 3D atomic systems
  ☆115Updated last year
• chao1224 / Geom3D
  Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
  ☆124Updated last year
• yuanqing-wang / rum
  Random walk unit with memory
  ☆23Updated 11 months ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆53Updated 7 months ago
• LUOyk1999 / HDSE
  [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"
  ☆15Updated 3 months ago
• shamim-hussain / tgt
  Triplet Graph Transformer
  ☆47Updated last year
• junxia97 / Mole-BERT
  [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
  ☆124Updated 2 years ago
• liugangcode / Graph-DiT
  The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"
  ☆82Updated 2 months ago
• LUOyk1999 / Molecular-homology
  [NeurIPS 2023] Implementation of "Improving Self-supervised Molecular Representation Learning using Persistent Homology"
  ☆12Updated last year
• GRAPH-0 / CDGS
  Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
  ☆34Updated 2 years ago
• syr-cn / SimSGT
  [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"
  ☆38Updated last year
• zetayue / MXMNet
  Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"
  ☆73Updated last year
• shehzaidi / pre-training-via-denoising
  Official implementation of pre-training via denoising for TorchMD-NET
  ☆96Updated 2 years ago
• azminewasi / Awesome-MoML-NeurIPS24
  ALL Molecular ML papers from NeurIPS'24.
  ☆58Updated 9 months ago
• SeulLee05 / MOOD
  Official code repository for the paper Exploring Chemical Space with Score-based Out-of-distribution Generation (ICML 2023)
  ☆39Updated last year
• learningmatter-mit / geom
  GEOM: Energy-annotated molecular conformations
  ☆230Updated 3 years ago
• divelab / MoleculeX
  ☆169Updated 3 years ago
• cvignac / MiDi
  MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
  ☆107Updated 11 months ago
• chao1224 / GraphMVP
  Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
  ☆196Updated 2 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• LiamMa / GRIT
  This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".
  ☆126Updated last week
• azminewasi / Awesome-MoML-ICLR25
  ALL Molecular ML papers from ICLR'25.
  ☆38Updated 5 months ago
• chao1224 / MoleculeSDE
  A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23
  ☆33Updated 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.
  ☆44Updated 4 months ago