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Name: BUPT GAMMA Lab

Type: Organization

Bio: Graph dAta Mining and MAchine learning Lab at Beijing University of Posts and Telecommunications

Location: No.3 Teaching Building, Beijing University of Posts and Telecommunications

Blog: shichuan.org

BUPT GAMMA Lab's Projects

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KDD 2020: AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

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This repo is for source code of NeurIPS 2021 paper "Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration".

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Co-clustering Interactions via Attentive Hypergraph Neural Network (SIGIR 2022)

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The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework

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source code of IJCAI 2021 paper "Graph Representation with Curriculum Contrastive Learning"

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Calibrating Graph Neural Networks from a Data-centric Perspective

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NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

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Code and dataset for IEEE TKDE paper "Dynamic Heterogeneous Information Network Embedding with Meta-path based Proximity"

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Code for paper FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

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A multi-backend graph learning library.

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Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective

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Must-read papers on graph foundation models (GFMs)

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The code and dataset of IPM 2020 paper "Graph Neural News Recommendation with Long-term and Short-term Interests Modeling"

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WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework

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Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”

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