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 9 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
- Graphium: Scaling molecular GNNs to infinity.☆236Updated 6 months ago
- [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 …☆79Updated last year
- List of Geometric GNNs for 3D atomic systems☆120Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆39Updated last year
- Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.☆169Updated 2 years ago
- Random walk unit with memory☆23Updated last year
- MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation☆107Updated last year
- Triplet Graph Transformer☆48Updated 2 months ago
- The code for "Graph Diffusion Transformer for Multi-Conditional Molecular Generation"☆96Updated 5 months ago
- Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures" (NeurIPS 2020 Workshop)☆73Updated 2 years ago
- ALL Molecular ML papers from ICLR'25.☆43Updated 8 months ago
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated last year
- Graph Positional and Structural Encoder☆53Updated 9 months ago
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆34Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆129Updated 3 months ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆126Updated 2 years ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆64Updated last year
- ☆31Updated last year
- Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)☆203Updated 3 years ago
- [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"☆127Updated 2 years ago
- Official implementation of pre-training via denoising for TorchMD-NET☆98Updated 2 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆45Updated last week
- Official code repository for the paper Exploring Chemical Space with Score-based Out-of-distribution Generation (ICML 2023)☆40Updated last year
- Official repository for the paper "On Evaluation Metrics for Graph Generative Models"☆25Updated 3 years ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆16Updated 6 months ago
- ☆42Updated 3 years ago
- Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023☆128Updated last year
- PyTorch implementation of MolGAN: MolGAN: An implicit generative model for small molecular graphs.☆62Updated 4 years ago