[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

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"

"GraphEdit: Large Language Models for Graph Structure Learning"

Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"

Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".

[WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"

[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"

A curated list of papers on graph structure learning (GSL).

Codes for SHINE published in EMNLP 2021.

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

A collection of research papers related to graph structure learning(GSL).

Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"

A curated and categorized paper list of gnn-based complex graph learning.

Paper list for graph structure learning on complex networks.

This is an official implementation for "Robust Graph Structure Learning over Images via Multiple Statistical Tests" accepted at NeurIPS 2022.

Graph Structure Learning methods with citation network applications

A **revised** implementation of the GSR model proposed in Self-Supervised Graph Structure Refinement for Graph Neural Network in WSDM23.

Official implementation of the paper "CoLiDE: Concomitant Linear DAG Estimation".