[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"

PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.

AI项目（强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理）

Official repository for survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph anomaly detection.

Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation

SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks

Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')

pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction

A collection of resources on fashion compatibility learning.

Graph neural networks for movie recommendation (IGMC), link prediction (SEAL) and node classification (HGT)

[WISE20] NeuLP: An End-to-end Deep-learning Model for Link Prediction (https://dl.acm.org/doi/abs/10.1007/978-3-030-62005-9_8)

This repository contains codes and data related to the paper "FunQG: Molecular Representation Learning Via Quotient Graphs". A pre-print version of this paper is currently available at