graph-neural-network topic
PTDNet
Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification
Caps2NE
A Capsule Network-based Model for Learning Node Embeddings (CIKM 2020)
awesome-graph-learning-papers
A curated list of graph learning papers, articles, tutorials, slides and projects
GraFRank
Code for "Graph Neural Networks for Friend Ranking in Large-scale Social Platforms" (WWW 2021).
pytorch_HAN
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
ea-sota-comparison
Code for paper "A Critical Assessment of State-of-the-Art in Entity Alignment" (https://arxiv.org/abs/2010.16314)
graphnet
A Deep learning library for neutrino telescopes
point-cloud-galaxy-diffusion
Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141
gli
🗂 Graph Learning Indexer: a contributor-friendly and metadata-rich platform for graph learning benchmarks. Dataloading, Benchmarking, Tagging, and more!
gnn-motion-planning
The official repo for NeurIPS 2021 paper 'Reducing Collision Checking for Sampling-Based Motion Planning Using Graph Neural Networks'