Our Topological Hyperparameter Evaluation Mapping Algorithm.
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Updated
May 24, 2024 - Python
Our Topological Hyperparameter Evaluation Mapping Algorithm.
GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
A professionally curated list of resources (paper, code, data, etc.) on 3D Skeleton Based Person Re-ID.
Paper List for Fair Graph Learning (FairGL).
Neuro-symbolic interpretation learning (mostly just language-learning, for now)
This is a real-world dataset of 18,061 public electric vehicle (EV) charging piles for spatio-temporal charging demand prediction.
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
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.
Graph Optimiser for Learning and Evolution of Models
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
"OpenGraph: Towards Open Graph Foundation Models"
Bayesian survival models for high-dimensional data
Graph learning framework for long-term video understanding
Extensible Surrogate Potential of Ab initio Learned and Optimized by Message-passing Algorithm 🍹https://arxiv.org/abs/2010.01196
[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"
This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
This repository provides data splits for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
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