Statistics for topic graph-neural-networks
RepositoryStats tracks 518,325 Github repositories, of these 508 are tagged with the graph-neural-networks topic. The most common primary language for repositories using this topic is Python (373). Other languages include: Jupyter Notebook (57)
Stargazers over time for topic graph-neural-networks
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[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
links to conference publications in graph-based deep learning
Anomaly detection related books, papers, videos, and toolboxes
A Comprehensive Survey of Self-Supervised Learning for Recommendation
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"
links to conference publications in graph-based deep learning
A Comprehensive Survey of Self-Supervised Learning for Recommendation
DrivAerNet: A Parametric Car Dataset for Data-driven Aerodynamic Design and Graph-Based Drag Prediction
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Anomaly detection related books, papers, videos, and toolboxes
Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024
A Comprehensive Survey of Self-Supervised Learning for Recommendation
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Anomaly detection related books, papers, videos, and toolboxes
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)
[ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs
A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.