BUPT GAMMA Lab's Projects
Source code for KDD 2024 paper "Advancing Molecule Invariant Representation via Privileged Substructure Identification"
KDD 2020: AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".
Co-clustering Interactions via Attentive Hypergraph Neural Network (SIGIR 2022)
Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"
Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge (ACL 2021)
The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"
Calibrating Graph Neural Networks from a Data-centric Perspective
NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"
Code for paper FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization
The source code of FedHGNN
A multi-backend graph learning library.
Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective
Implementation of ICML'24 Paper "Graph Distillation with Eigenbasis Matching"
Must-read papers on graph foundation models (GFMs)