[MIPR 2022 & TMM 2023] "Attentive Graph Neural Networks for Few-shot Learning" with its extension version
☆16Apr 17, 2023Updated 3 years ago
Alternatives and similar repositories for AGNN
Users that are interested in AGNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for our paper "HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition".☆15Jan 3, 2023Updated 3 years ago
- Few shot learning for human pose estimation☆31Apr 13, 2024Updated 2 years ago
- Simple implementation of DRL (PPO is used) for image denoising via residual recovery☆11Jun 14, 2022Updated 4 years ago
- ☆59Jun 21, 2024Updated 2 years ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆69Feb 28, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code implementation for the paper: Supervised Masked Knowledge Distillation for Few-Shot Transformers☆42Mar 29, 2023Updated 3 years ago
- [CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.☆178Jul 25, 2024Updated 2 years ago
- [ICCV19&TNNLS23, Highly Cited Paper] Few-Shot Image Recognition with Knowledge Transfer☆25Feb 7, 2023Updated 3 years ago
- Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning☆24Apr 21, 2022Updated 4 years ago
- Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action Recognition☆14Dec 22, 2022Updated 3 years ago
- TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition☆17Mar 26, 2024Updated 2 years ago
- This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)☆88Jul 23, 2018Updated 8 years ago
- Self-Convolution (ICASSP2021+TIP2021), Matlab implementation☆28May 6, 2022Updated 4 years ago
- A meta-learning framework for few-shot graph learning☆20Mar 1, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Code for CLVision workshop (CVPR 2024) paper - Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-train…☆11Nov 12, 2024Updated last year
- Fault Diagnosis of Wheeled Robot Based on Prior Knowledge and Spatial-temporal difference graph convolutional network☆45Apr 3, 2023Updated 3 years ago
- Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.☆65Jun 22, 2022Updated 4 years ago
- SSGC: Synergistic Similarity Graph Construction for Steel Plate Fault Diagnosis with Graph Attention Networks☆22Dec 5, 2024Updated last year
- Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023☆33Nov 30, 2022Updated 3 years ago
- vit for few-shot classification☆48Mar 24, 2023Updated 3 years ago
- [ACL 2023] TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline☆12Mar 4, 2024Updated 2 years ago
- knowledge distillation for few-shot learning☆13Dec 27, 2023Updated 2 years ago
- Drop-in convolutional Kolmogorov-Arnold Network☆19May 23, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for our CVPR 2023 paper "MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition".☆52Mar 7, 2024Updated 2 years ago
- [CVPR 2018] Feedback-prop: Convolutional Neural Network Inference under Partial Evidence☆13Jun 12, 2018Updated 8 years ago
- ☆14Jan 5, 2022Updated 4 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 3 years ago
- Knowledge graph extraction from text using OpenAI ChatGPT for graph extraction and Neo4j for DB storage☆11Feb 26, 2024Updated 2 years ago
- Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting, (ICCV'21)☆14Aug 4, 2022Updated 3 years ago
- [CVPR 2024 highlight] Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI, PyTorch Implementation☆42Mar 2, 2025Updated last year
- ☆13Jan 8, 2020Updated 6 years ago
- ACL'2023: Few-shot Event Detection: An Empirical Study and a Unified View☆11Mar 13, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆28Feb 24, 2022Updated 4 years ago
- Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning (ICLR 2023)☆58Jun 4, 2024Updated 2 years ago
- Implementation for the journal paper "DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering" (Jianyu et al., IEEE Tran…☆18Jun 22, 2021Updated 5 years ago
- ☆59Jan 12, 2022Updated 4 years ago
- DemoKG is a knowledge graph tutorials for students and researchers. The tutorials include related topics suchas SPO triple preparation, G…☆12Dec 11, 2023Updated 2 years ago
- An index of algorithms for few-shot learning/meta-learning on graphs☆160Apr 30, 2025Updated last year
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Feb 12, 2023Updated 3 years ago