Relational Deep Learning and Explainability of Graph Neural Network
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Updated
Aug 17, 2024 - Python
Relational Deep Learning and Explainability of Graph Neural Network
Algorithmic trading using heterogeneous graph neural network and reinforcement learning, pre-alpha
Inductive relation prediction by subgraph reasoning, ICML'20
A Large-Scale Company Relation Graph for Investment Industry
Implementation for "CNN-Enhanced Heterogeneous Graph Convolutional Network: Inferring Land Use from Land Cover with a Case Study of Park Segmentation"
Implementation for "Global heterogeneous graph convolutional network: from coarse to refined land cover and land use segmentation"
SI-HDGNN: Heterogeneous Dynamical Academic Network for Scientific Impact Propagation Learning
CIKM'23 paper: Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks
[Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
✨ Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG
This repo is for source code of SDM 2023 paper "Heterogeneous Graph Contrastive Multi-view Learning".
This repo is for source code of Expert Systems with Applications paper "SR-HGN: Semantic-and Relation-Aware Heterogeneous Graph Neural Network".
Course project of SJTU CS3319: Foundations of Data Science, 2023 spring
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
[ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
TigerLily: Finding drug interactions in silico with the Graph.
Source code for KDD 2020 paper "Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation"
Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.
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