Official Pytorch implementation of NeuralWalker
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Updated
Jun 6, 2024 - Python
Official Pytorch implementation of NeuralWalker
Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
This is a movie recommendation system based on bipartite graphs that uses the IMDB and TMDB dataset to recommend movies to users based on movie similarity and user preferences using graph representation learning.
设计一下怎么毕业
[KDD'2024 Survey+Tutorial] "LLM4Graph: A Survey of Large Language Models for Graphs"
Awesome graph neural networks for brain network learning. Collections of related research papers with implementations, commonly used datasets and tools. We also invite researchers interested in brain graph learning with GNNs to join the project.
Welcome to the Graph Neural Networks (06838-01) class repository for the Department of Artificial Intelligence at the Catholic University of Korea. This platform is dedicated to sharing and archiving lecture materials such as practices, assignments, and sample codes for the class.
Inductive relation prediction by subgraph reasoning, ICML'20
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"
This study aims to validate whether the research performance of scholars correlates with how the scholars work together.
Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and developed by NS Lab @ CUK based on pure PyTorch backend.
Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree biases in message-passing mechanism and developed by NS Lab @ CUK based on pure PyTorch backend.
Streamlit App for Node and Graph Classification and Explainability
Awesome Graph Condensation Papers
Source code for EvalNE, a Python library for evaluating Network Embedding methods.
links to conference publications in graph-based deep learning
Few-Shot Graph Classification via distance metric learning.
Exploiting Graph Structures for Reproducibility Badge Prediction in Academic Papers
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