A repository for resources of deep learning-based graph anomaly detection.
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Updated
Nov 24, 2023
A repository for resources of deep learning-based graph anomaly detection.
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
pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction
Graph neural networks for movie recommendation (IGMC), link prediction (SEAL) and node classification (HGT)
A collection of resources on fashion compatibility learning.
[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)
Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization (NeurIPS 21')
Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural Networks"
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
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)
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