Federated learning on graph, especially on graph neural networks (GNNs),...
Representation learning on dynamic graphs using self-attention networks
A Pytorch implementation of "Splitter: Learning Node Representations tha...
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks ...
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hi...
Learning Intents behind Interactions with Knowledge Graph for Recommenda...
A review of papers proposing novel GNN methods with application to brain...
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (...
A scalable Gensim implementation of "Learning Role-based Graph Embedding...
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dat...
[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Desi...
The reference implementation of "Multi-scale Attributed Node Embedding"....
Must-read Papers for Recommender Systems (RS)
Smart contract vulnerability detection using graph neural network (DR-GC...
Code for Knowledge-Embedded Routing Network for Scene Graph Generation (...