SDS-Lab / ROT-Pooling
Learnable Global Pooling Layers Based on Regularized Optimal Transport (ROT)
☆16Updated 11 months ago
Alternatives and similar repositories for ROT-Pooling:
Users that are interested in ROT-Pooling are comparing it to the libraries listed below
- A Quasi-Wasserstein Loss for Learning Graph Neural Networks (QW loss)☆10Updated 9 months ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆22Updated last year
- Part of official implementation of "Natural language-informed learning of molecule graphs"☆16Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆34Updated 11 months ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆23Updated last year
- Source code for the paper 'Uncovering Neural Scaling Laws in Molecular Representation Learning' (NeurIPS 2023 Datasets and Benchmarks).☆14Updated last year
- [AAAI2023 Oral] The official implementation of "Hierarchical Contrastive Learning for Temporal Point Processes"☆22Updated 2 months ago
- A list of papers for group meeting☆15Updated 2 months ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 6 months ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆40Updated last year
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆59Updated last year
- ☆13Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆18Updated last year
- [EMNLP 2023] ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction.☆18Updated last year
- ☆21Updated 2 years ago
- [CIKM2023] The official implementation of "MPerformer: An SE(3) Transformer-based Molecular Perceptron"☆14Updated 4 months ago
- ☆15Updated last year
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆40Updated last year
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 2 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆67Updated 11 months ago
- A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining, ICML'23☆32Updated 11 months ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆38Updated 8 months ago
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆38Updated last year
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- [CIKM2024] The official implementation of "MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction"☆18Updated 4 months ago
- ☆13Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆30Updated 9 months ago
- Source Code of IJCAI 2022 paper "Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport"☆23Updated 2 years ago
- Code for AAAI24 paper Text-Guided Molecule Generation with Diffusion Language Model☆23Updated 7 months ago