azminewasi / Awesome-Graph-Research-ICLR2025Links
It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2025.
☆43Updated 10 months ago
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
Sorting:
- All graph/GNN papers accepted at NeurIPS 2024.☆84Updated last year
- List of Geometric GNNs for 3D atomic systems☆119Updated last year
- Graphium: Scaling molecular GNNs to infinity.☆239Updated 8 months ago
- Random walk unit with memory☆22Updated last year
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆44Updated 2 years ago
- The OGB-LSC is the Large Scale Competition by Open Graph Benchmark to help accelerate research into machine learning on graph structured …☆78Updated last year
- Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.☆171Updated 2 years ago
- Triplet Graph Transformer☆50Updated 3 months ago
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆100Updated 7 months ago
- MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation☆109Updated last year
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆128Updated 2 years ago
- GEOM: Energy-annotated molecular conformations☆236Updated 3 years ago
- ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics☆60Updated last year
- Official code repository for the paper Exploring Chemical Space with Score-based Out-of-distribution Generation (ICML 2023)☆41Updated last year
- Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023☆130Updated last year
- Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)☆209Updated 3 years ago
- Official implementation of pre-training via denoising for TorchMD-NET☆99Updated 2 years ago
- ☆32Updated 2 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Updated last year
- Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures" (NeurIPS 2020 Workshop)☆73Updated 2 years ago
- A curated list of papers related to molecular diffusion models.☆76Updated 7 months ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆35Updated 2 years ago
- ☆21Updated 2 years ago
- Geometric Generative Model Tutorial at LoG 2024☆27Updated last year
- Molecular Hypergraph Neural Network☆43Updated 6 months ago
- A library for subgraph GNN based on pyg☆40Updated last year
- ☆60Updated last year
- MoFlow: an invertible flow model for generating molecular graphs☆146Updated 2 years ago
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆33Updated last year
- Graph Positional and Structural Encoder☆54Updated 11 months ago