DavideBuffelli / SAMELinks
Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Graph Representation Learning in Multi-Task Settings"
☆18Updated 3 years ago
Alternatives and similar repositories for SAME
Users that are interested in SAME are comparing it to the libraries listed below
Sorting:
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆42Updated 4 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 3 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆47Updated 8 months ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Updated last year
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆70Updated 10 months ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆21Updated 3 years ago
- [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆23Updated 2 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- Graph Positional and Structural Encoder☆53Updated 11 months ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆40Updated last year
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Updated 5 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 4 years ago
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆81Updated 4 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆24Updated 2 years ago
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆33Updated 4 years ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆45Updated 2 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Updated 3 years ago
- [ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang; [WSDM 2022] "Bringing Yo…☆116Updated last year
- ☆30Updated 4 years ago
- DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…☆19Updated 2 years ago
- Edge-Augmented Graph Transformer☆80Updated last year
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆62Updated 3 years ago
- ☆57Updated 4 years ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated 2 years ago