Source code for EvalNE, a Python library for evaluating Network Embeddin...
Official Code Repository for the paper "Accurate Learning of Graph Repre...
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Di...
Official repository for the paper "Improving Graph Neural Network Expres...
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Gra...
A curated list of awesome graph representation learning.
Pytorch implementation of Relational GCN for node classification
Transformers are Graph Neural Networks!
Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)
[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
Daily reading group on graphs at KEG
Graph Embedding via Frequent Subgraphs
Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Ne...
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on p...