graph-neural-network topic
graphretro
Learning Graph Models for Retrosynthesis Prediction (NeurIPS 2021)
LT-OCF
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
Pocket2Drug
Pytorch implementation of Pocket2Drug: a generative deep learning model to predict binding drugs for ligand-binding sites.
RGRec
Rule-Guided Graph Neural Networks for Recommender Systems, ISWC 2020
GAR
This is the official code of GAR.
polygnn
polyGNN is a Python library to automate ML model training for polymer informatics.
ARGNP
Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)
PAS
The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.
SNAG
Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".
DAGAD
Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022