A curated and categorized paper list of gnn-based complex graph learning.
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Updated
Apr 9, 2023
A curated and categorized paper list of gnn-based complex graph learning.
Official implementation of the paper "CoLiDE: Concomitant Linear DAG Estimation".
Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"
This is an official implementation for "Robust Graph Structure Learning over Images via Multiple Statistical Tests" accepted at NeurIPS 2022.
A **revised** implementation of the GSR model proposed in Self-Supervised Graph Structure Refinement for Graph Neural Network in WSDM23.
Graph Structure Learning methods with citation network applications
Paper list for graph structure learning on complex networks.
A collection of research papers related to graph structure learning(GSL).
A curated list of papers on graph structure learning (GSL).
This is an official implementation for "Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space" accepted at ICLR 2022.
ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation
"GraphEdit: Large Language Models for Graph Structure Learning"
Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".
Codes for SHINE published in EMNLP 2021.
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"
Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"
📈 Awesome resources related to GNNs for Time Series Analysis (GNN4TS) 🔥 https://arxiv.org/abs/2307.03759
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