graph-structure-learning

[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"

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

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

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"

Codes for SHINE published in EMNLP 2021.

ACM MM'23: A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation

This is an official implementation for "Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space" accepted at ICLR 2022.

[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".

[ICDE 2023] Dynamic hypergraph structure learning for traffic flow forecasting

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.

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

[TNNLS] The source code for "When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning" (LatGRL)

Paper list for graph structure learning on complex networks.