- A curated list of papers on graph transfer learning 🔍
- Transfer Learning / Domain Adaption on Graph🔍
- Transfer learning with graph neural networks for improved molecular ...🔍
- Awesome graph|representation|learning Lists🔍
- Evaluating the Use of Graph Neural Networks and Transfer Learning ...🔍
- Transfer in Deep Reinforcement Learning Using Knowledge Graphs🔍
- [D] Why I'm Lukewarm on Graph Neural Networks🔍
- Awesome transfer|learning Lists🔍
A curated list of papers on graph transfer learning
A curated list of papers on graph transfer learning (GTL). - GitHub
A curated list of papers on graph transfer learning (GTL). - YuanchenBei/Awesome-Graph-Transfer-Learning.
Transfer Learning / Domain Adaption on Graph - GitHub
A curated paper list about transfer learning (mainly domain adaption) on graphs. Graph transfer learning (Graph domain adaption).
Transfer learning with graph neural networks for improved molecular ...
GNNs have emerged as a powerful and widely-used class of algorithms for molecular property prediction thanks to their natural ability to learn ...
Awesome graph-representation-learning Lists | Ecosyste.ms
A curated list of awesome lists for every topic, language and framework.
Evaluating the Use of Graph Neural Networks and Transfer Learning ...
As a result, a set of 45 molecular descriptors was obtained for all molecules. The list of molecular descriptors used is available in the ...
Transfer in Deep Reinforcement Learning Using Knowledge Graphs
This paper explores the use of knowledge graphs as a representation for domain knowledge transfer ... a curated list of games whose features and challenges the ...
[D] Why I'm Lukewarm on Graph Neural Networks - Reddit
Here's the cynic's view of how machine learning papers are made: Take an existing algorithm. Add some new layer/hyperparameter, make a cute ...
Awesome transfer-learning Lists | Ecosyste.ms
awesome-list domain-adaptation paper transfer-learning unsupervised-learning. 1,686 stars 303 forks 143 projects. Last updated: 22 May 2024. awesome-graph-self ...
DRED: Zero-Shot Transfer in Reinforcement Learning via Data ... Position: Relational Deep Learning - Graph Representation Learning on Relational Databases ...
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction
In this paper, we propose a novel transfer learning approach to solve the traffic prediction with few data, which can transfer the knowledge learned from a ...
my awesome AI bookmarks - Model Zoo
Curated list of my reads, implementations and core concepts of Artificial Intelligence, Deep Learning, Machine Learning by best folk in the world.
Transfer learning based graph convolutional network with self ...
In this paper, we propose a transfer learning based graph convolutional network with self-attention mechanism method to detect abnormal electricity consumption.
Pre-training Graph Neural Networks for Molecular ... - Jun Xia
Graph Contrastive Learning ... Adaptive Transfer Learning on Graph Neural Networks (Han et al., KDD 2021) ... A curated list of must-read papers, open-source pre- ...
Awesome-Graph-Prompt - CodeSandbox
This repo aims to provide a curated list of research papers that explore the prompting on graphs. ... Graph Pre-trained Models for Graph Domain Transfer Learning.
Drug Repurposing for COVID-19 using Graph Neural Network with ...
... a curated list of COVID-19 literature in CTDbase (24). (b) We built the SARS ... We transferred extensive representation in DRKG using transfer learning.
Aman's AI Journal • Papers List
The paper illustrates a promising direction for future transfer learning research in NLP. Key takeaways: Old idea (from OpenAI's GPT3 paper):. Treat LMs as ...
The Incredible PyTorch - Ritchie Ng
This is a curated list of tutorials, projects, libraries, videos, papers ... Geometric Deep Learning: Graph & Irregular Structures. PyTorch Geometric ...
Accepted papers - Transactions on Machine Learning Research
Accepted TMLR papers can be awarded a number of certifications by the action editors or editors-in-chief of TMLR. The current list of awarded certificates is
Transfer Learning for Link Prediction on Knowledge Graphs
A reliable model is preferable, but phrase matching with an alias list is a pragmatic alternative. Utilize structured data for metadata, ...
Enhancing Word Embedding with Graph Neural Networks - Neo4j
... transfer learning across a range of language tasks and domains. ... Curated lists of articles by users on medium. Image by the author ...