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[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
Graph Neural Network Library for PyTorch
Implementation of the KDD'24 paper "LPFormer: An Adaptive Graph Transformer for Link Prediction"
[ICML 2024] Rethinking Independent Cross-Entropy Loss For Graph-Structured Data
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
[AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.
The library for web and native user interfaces.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
The codings of paper 'UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks'
Implemention of CIKM'23 paper: Neighborhood Homophily-Guided Graph Convolutional Network
Source code for KDD 2024 paper "Advancing Molecule Invariant Representation via Privileged Substructure Identification"
Graph revised convolutional network (ECML-PKDD 2020)
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
Disentangle graph homophily into label homophily, structural homophily, and feature homophily. Including 20 homophily meaasurements on 31 datasets.
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
A More Fair and Comprehensive Comparison between KAN and MLP
🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024