crisostomi / metric-few-shot-graphLinks
Few-Shot Graph Classification via distance metric learning.
☆23Updated last year
Alternatives and similar repositories for metric-few-shot-graph
Users that are interested in metric-few-shot-graph are comparing it to the libraries listed below
Sorting:
- A study of distance measures and learning methods for semi-supervised learning on time series data☆17Updated 4 years ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 4 years ago
- [MIPR 2022 & TMM 2023] "Attentive Graph Neural Networks for Few-shot Learning" with its extension version☆15Updated 2 years ago
- A meta-learning framework for few-shot graph learning☆19Updated 2 years ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆28Updated 4 years ago
- Official implement of RAHG: A Role-Aware Hypergraph Neural Network for Node Classification in Graphs.☆11Updated last year
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆17Updated 3 years ago
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- Source codes of Learning Causal Representations for Robust Domain Adaptation (IEEE TKDE)☆12Updated 3 years ago
- Code for the paper "Twin Contrastive Learning for Online Clustering" (IJCV 2022)☆71Updated 2 years ago
- ☆14Updated 4 years ago
- ☆20Updated 3 years ago
- The code of “Prototypical Graph Contrastive Learning”. [TNNLS 2022]☆24Updated 3 years ago
- Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders☆12Updated last year
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆31Updated 2 years ago
- ☆36Updated last year
- Few Shot Learning on Graphs☆33Updated 2 years ago
- LowFER: Low-rank Bilinear Pooling for Link Prediction (ICML 2020)☆13Updated 3 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Updated 3 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- PyTorch implementation for Partially View-aligned Representation Learning with Noise-robust Contrastive Loss (CVPR 2021)☆51Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- AAAI 2021-Deep Fusion Clustering Network☆81Updated last year
- [TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup☆33Updated last year
- Official implementation for SPA: A Graph Spectral Alignment Perspective for Domain Adaptation (NeurIPS 2023)☆17Updated last year
- Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.☆25Updated 3 years ago
- Official code for the ICCV23 paper: "Domain Generalization via Rationale Invariance"☆19Updated 9 months ago
- AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators (AAAI 2022)☆48Updated 3 years ago
- ☆11Updated 2 years ago