Graph-COM

All

40 repositories

GAD-NR
Public
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
auto-encoder graph-neural-networks graph-anomaly-detection deep-learning pytorch unsupervised-learning anomaly-detection
Jupyter Notebook
•2•38•4•0•Updated Nov 22, 2024Nov 22, 2024
SubgraphRAG
Public
Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
knowledge-graph llama rag large-language-models llm retrieval-augmented-generation graphrag gpt-4o subgraphrag
Python
•
MIT License
•4•23•0•0•Updated Nov 20, 2024Nov 20, 2024
LayerDAG
Public
LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs
pytorch generative-model intermediate-representation graph-generation directed-acyclic-graph graph-neural-networks dataflows synthetic-data-generation autoregressive-models ddpm
Python
•
Apache License 2.0
•0•9•0•0•Updated Nov 9, 2024Nov 9, 2024
SGD_unlearning
Public
Jupyter Notebook
•0•3•0•0•Updated Oct 26, 2024Oct 26, 2024
xgdl
Public
Explainability Library with Geometric Deep Learning for Scientific Tasks
Python
•
MIT License
•1•4•0•0•Updated Oct 26, 2024Oct 26, 2024
PvGaLM
Public
PvGaLM is a novel privacy-preserving pipeline for relational learning.
relational-learning differential-privacy finetuning llms
Python
•
Apache License 2.0
•0•3•0•0•Updated Oct 15, 2024Oct 15, 2024
Langevin_unlearning
Public
Jupyter Notebook
•0•3•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-model graph-anomaly-detection neurips-2023 glfrontiers
Jupyter Notebook
•0•4•0•0•Updated Sep 15, 2024Sep 15, 2024
SPE
Public
Official code for SPE
Python
•0•11•1•0•Updated Sep 15, 2024Sep 15, 2024
GraphMaker
Public
[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
social-network network-science pytorch generative-model graph-generation node-classification graph-neural-networks synthetic-data-generation ddpm
Python
•
MIT License
•6•54•0•0•Updated Sep 12, 2024Sep 12, 2024
ED-HNN
Public
[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
hypergraph-learning graph-diffusion equivariant-network graph-neural-networks
Python
•
MIT License
•5•40•2•0•Updated Aug 16, 2024Aug 16, 2024
HEPT
Public
[ICML'24 Oral] LSH-Based Efficient Point Transformer (HEPT)
point-cloud pytorch transformer hep-ex geometric-deep-learning ai4science
Python
•
MIT License
•5•17•0•0•Updated Jul 8, 2024Jul 8, 2024
Pair-Align
Public
[ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
Python
•
MIT License
•0•11•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
•0•5•0•0•Updated Jun 13, 2024Jun 13, 2024
GSSC
Public
[Preprint] Graph State Space Convolution (GSSC)
Python
•0•12•1•0•Updated Jun 11, 2024Jun 11, 2024
GESS
Public
Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
Python
•
MIT License
•1•13•0•0•Updated Jun 2, 2024Jun 2, 2024
Multi-q-Maglap
Public
Python
•0•4•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-learning pytorch interpretability xai graph-neural-networks interpretable-machine-learning
Jupyter Notebook
•
MIT License
•23•163•0•0•Updated Feb 19, 2024Feb 19, 2024
DIG_MILP
Public
The official implementation of DIG-MILP
Python
•0•12•0•0•Updated Oct 27, 2023Oct 27, 2023
SUREL_Plus
Public
[VLDB'23] SUREL+ is a novel set-based computation framework for scalable subgraph-based graph representation learning.
graph-representation-learning open-graph-benchmark scalable-graph-learning
C
•
BSD 2-Clause "Simplified" License
•1•17•0•0•Updated Sep 6, 2023Sep 6, 2023
LRI
Public
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
deep-learning pytorch interpretability geometric-deep-learning xai graph-neural-networks interpretable-machine-learning
Python
•
MIT License
•3•23•0•0•Updated Jul 18, 2023Jul 18, 2023
StruRW
Public
[ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)
Python
•0•21•0•0•Updated Jun 20, 2023Jun 20, 2023
PEG
Public
Python
•
MIT License
•8•38•1•0•Updated Jun 4, 2023Jun 4, 2023
Neighborhood-Aware-Temporal-Network
Public
Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
Python
•
MIT License
•4•27•0•0•Updated May 6, 2023May 6, 2023
Meta_CO
Public
the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning
Python
•
GNU Lesser General Public License v2.1
•0•8•0•0•Updated Feb 23, 2023Feb 23, 2023
SUREL
Public
[VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
graph-representation-learning open-graph-benchmark
C
•
BSD 2-Clause "Simplified" License
•4•19•2•0•Updated Jan 28, 2023Jan 28, 2023
Labs-for-Machine-Learning-on-Graphs
Public
Jupyter Notebook
•0•0•0•0•Updated Oct 17, 2022Oct 17, 2022
Bayesian_inference_based_GNN
Public
[Neurips2022] Understanding Non-linearity in Graph Neural Networks from the Perspective of Bayesian Inference
Jupyter Notebook
•1•7•0•0•Updated Oct 12, 2022Oct 12, 2022
CO_ProxyDesign
Public
The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
Python
•
GNU Lesser General Public License v2.1
•0•15•0•0•Updated Oct 9, 2022Oct 9, 2022