Repositories list

• LLM_BP

  Public
  [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language

  Python

  •0•10•0•0•Updated Jul 15, 2025Jul 15, 2025

• GraphKV

  Public
  Python

  •0•4•0•0•Updated Jun 30, 2025Jun 30, 2025

• Walk_Profiles

  Public
  Python

  •0•0•0•0•Updated Jun 25, 2025Jun 25, 2025

• Node_DP

  Public
  Code for node DP of relation learning

  Python

  •0•2•0•0•Updated Jun 23, 2025Jun 23, 2025

• TSA

  Public
  Source code of "Structural Alignment Improves Graph Test-Time Adaptation"

  Python

  •

  MIT License

  •0•3•0•0•Updated Jun 9, 2025Jun 9, 2025

• Knowledge_Unlearning

  Public
  Python

  •0•4•1•0•Updated Jun 5, 2025Jun 5, 2025

• DP_GraphDiffusion

  Public
  [NeurIPS 2024] Differentially Private Graph Diffusion with Applications in Personalized PageRanks

  Python

  •

  MIT License

  •0•0•0•0•Updated Jun 4, 2025Jun 4, 2025

• Minority_Aware_LLM_Unlearning

  Public
  [ICML 2025] "Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning" Project

  Python

  •

  MIT License

  •0•4•0•0•Updated Jun 2, 2025Jun 2, 2025

• GraphMaker

  Public
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

  social-networknetwork-sciencepytorch+ 6generative-modelgraph-generationnode-classificationgraph-neural-networkssynthetic-data-generationddpm

  Python

  •

  MIT License

  •7•61•0•0•Updated Apr 25, 2025Apr 25, 2025

• SUREL_Plus

  Public
  [VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.

  graph-representation-learningopen-graph-benchmarkscalable-graph-learning

  C

  •

  BSD 2-Clause "Simplified" License

  •1•17•0•0•Updated Apr 10, 2025Apr 10, 2025

• SUREL

  Public
  [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.

  graph-representation-learningopen-graph-benchmark

  C

  •

  BSD 2-Clause "Simplified" License

  •4•19•2•0•Updated Apr 10, 2025Apr 10, 2025

• SubgraphRAG

  Public
  [ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

  knowledge-graphllamarag+ 6large-language-modelsllmretrieval-augmented-generationgraphraggpt-4osubgraphrag

  Python

  •

  MIT License

  •17•96•1•0•Updated Jan 27, 2025Jan 27, 2025

• LayerDAG

  Public
  [ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs

  pytorchgenerative-modelintermediate-representation+ 7graph-generationdirected-acyclic-graphgraph-neural-networksdataflowssynthetic-data-generationautoregressive-modelsddpm

  Python

  •

  Apache License 2.0

  •1•20•0•0•Updated Jan 26, 2025Jan 26, 2025

• HEPT

  Public
  [ICML 2024 Oral] LSH-Based Efficient Point Transformer (HEPT)

  point-cloudpytorchtransformer+ 3hep-exgeometric-deep-learningai4science

  Python

  •

  MIT License

  •7•20•1•0•Updated Jan 24, 2025Jan 24, 2025

• GESS

  Public
  Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts

  Python

  •

  MIT License

  •1•16•0•0•Updated Dec 28, 2024Dec 28, 2024

• GAD-NR

  Public
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction

  auto-encodergraph-neural-networksgraph-anomaly-detection+ 4deep-learningpytorchunsupervised-learninganomaly-detection

  Jupyter Notebook

  •2•47•4•0•Updated Nov 22, 2024Nov 22, 2024

• SGD_unlearning

  Public
  Jupyter Notebook

  •0•4•0•0•Updated Oct 26, 2024Oct 26, 2024

• xgdl

  Public
  Explainability Library with Geometric Deep Learning for Scientific Tasks

  Python

  •

  MIT License

  •1•7•1•0•Updated Oct 26, 2024Oct 26, 2024

• PvGaLM

  Public
  [COLM'25] PvGaLM is the first privacy-preserving relational learning pipeline that is compatible with DP-SGD.

  relational-learningdifferential-privacyfinetuning+ 1llms

  Python

  •

  Apache License 2.0

  •0•3•0•0•Updated Oct 15, 2024Oct 15, 2024

• Langevin_unlearning

  Public
  Jupyter Notebook

  •0•5•0•0•Updated Oct 12, 2024Oct 12, 2024

• GAD-EBM

  Public
  [NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models

  energy-based-modelgraph-anomaly-detectionneurips-2023+ 1glfrontiers

  Jupyter Notebook

  •0•5•0•0•Updated Sep 15, 2024Sep 15, 2024

• SPE

  Public
  Official code for SPE

  Python

  •0•17•1•0•Updated Sep 15, 2024Sep 15, 2024

• ED-HNN

  Public
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

  hypergraph-learninggraph-diffusionequivariant-network+ 1graph-neural-networks

  Python

  •

  MIT License

  •8•46•1•0•Updated Aug 16, 2024Aug 16, 2024

• Pair-Align

  Public
  [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)

  Python

  •

  MIT License

  •1•13•0•0•Updated Jun 15, 2024Jun 15, 2024

• Benchmark_for_DGRL_in_Hardwares

  Public
  The official implementation of `A benchmark for Directed Graph Representation Learning in Hardware Designs'

  Python

  •

  Creative Commons Attribution 4.0 International

  •1•5•0•0•Updated Jun 13, 2024Jun 13, 2024

• GSSC

  Public
  [Preprint] Graph State Space Convolution (GSSC)

  Python

  •2•13•1•0•Updated Jun 11, 2024Jun 11, 2024

• Multi-q-Maglap

  Public
  Python

  •0•7•0•0•Updated May 28, 2024May 28, 2024

• NLB

  Public
  "No Need to Look Back: An Efficient and Scalable Approach for Temporal Network Representation Learning" by Yuhong Luo and Pan Li

  Python

  •

  MIT License

  •0•5•0•0•Updated May 21, 2024May 21, 2024

• GSAT

  Public
  [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.

  deep-learningpytorchinterpretability+ 3xaigraph-neural-networksinterpretable-machine-learning

  Jupyter Notebook

  •

  MIT License

  •23•170•0•0•Updated Feb 19, 2024Feb 19, 2024

• DIG_MILP

  Public
  The official implementation of DIG-MILP

  Python

  •0•14•0•0•Updated Oct 27, 2023Oct 27, 2023