Projects in Awesome Lists by Graph-COM
A curated list of projects in awesome lists by Graph-COM .
https://github.com/Graph-COM/GSAT
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai
Last synced: 21 Jul 2025
https://github.com/graph-com/gsat
[ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai
Last synced: 27 Jul 2025
https://github.com/graph-com/cka-agent
Official Implementation of the CKA-Agent, "The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search".
jailbreak llms red-teaming safety
Last synced: 25 Dec 2025
https://github.com/graph-com/graphmaker
[TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
ddpm generative-model graph-generation graph-neural-networks network-science node-classification pytorch social-network synthetic-data-generation
Last synced: 12 May 2025
https://github.com/graph-com/ed-hnn
[ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
equivariant-network graph-diffusion graph-neural-networks hypergraph-learning
Last synced: 27 Jul 2025
https://github.com/graph-com/gad-nr
[WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
anomaly-detection auto-encoder deep-learning graph-anomaly-detection graph-neural-networks pytorch unsupervised-learning
Last synced: 27 Jul 2025
https://github.com/Graph-COM/SubgraphRAG
[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
gpt-4o graphrag knowledge-graph large-language-models llama llm rag retrieval-augmented-generation subgraphrag
Last synced: 05 Oct 2025
https://github.com/graph-com/neighborhood-aware-temporal-network
Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
Last synced: 02 Jul 2025
https://github.com/graph-com/subgraphrag
Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
gpt-4o graphrag knowledge-graph large-language-models llama llm rag retrieval-augmented-generation subgraphrag
Last synced: 24 Aug 2025
https://github.com/graph-com/surel
[VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.
graph-representation-learning open-graph-benchmark
Last synced: 27 Jul 2025
https://github.com/graph-com/layerdag
[ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs
autoregressive-models dataflows ddpm directed-acyclic-graph generative-model graph-generation graph-neural-networks intermediate-representation pytorch synthetic-data-generation
Last synced: 27 Jul 2025
https://github.com/graph-com/co_proxydesign
The repository for 'Unsupervised Learning for Combinatorial Optimization with Principled Proxy Design'
Last synced: 27 Jul 2025
https://github.com/graph-com/gssc
[Preprint] Graph State Space Convolution (GSSC)
Last synced: 20 Jul 2025
https://github.com/graph-com/lri
[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.
deep-learning geometric-deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai
Last synced: 27 Jul 2025
https://github.com/graph-com/hept
[ICML'24 Oral] LSH-Based Efficient Point Transformer (HEPT)
ai4science geometric-deep-learning hep-ex point-cloud pytorch transformer
Last synced: 27 Jul 2025
https://github.com/graph-com/dig_milp
The official implementation of DIG-MILP
Last synced: 27 Jul 2025
https://github.com/graph-com/surel_plus
[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
Last synced: 27 Jul 2025
https://github.com/graph-com/llm_bp
[ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language
Last synced: 08 Aug 2025
https://github.com/graph-com/meta_co
the official repository of the paper unsupervised learning for combinatorial optimization needs meta learning
Last synced: 27 Jul 2025
https://github.com/graph-com/bayesian_inference_based_gnn
[Neurips2022] Understanding Non-linearity in Graph Neural Networks from the Perspective of Bayesian Inference
Last synced: 13 Oct 2025
https://github.com/graph-com/pair-align
[ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)
Last synced: 27 Jul 2025
https://github.com/graph-com/gess
Code for GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
Last synced: 27 Jul 2025
https://github.com/graph-com/xgdl
Explainability Library with Geometric Deep Learning for Scientific Tasks
Last synced: 20 Jul 2025
https://github.com/graph-com/benchmark_for_dgrl_in_hardwares
The official implementation of `A benchmark for Directed Graph Representation Learning in Hardware Designs'
Last synced: 10 Aug 2025
https://github.com/graph-com/gad-ebm
[NeurIPS 2023 : GLFRONTIERS Workshop] GAD-EBM : Graph Anomaly Detection using Energy-Based Models
energy-based-model glfrontiers graph-anomaly-detection neurips-2023
Last synced: 07 Jul 2025
https://github.com/graph-com/nlb
"No Need to Look Back: An Efficient and Scalable Approach for Temporal Network Representation Learning" by Yuhong Luo and Pan Li
Last synced: 27 Jul 2025
https://github.com/graph-com/tsa
Source code of "Structural Alignment Improves Graph Test-Time Adaptation"
Last synced: 08 Aug 2025
https://github.com/graph-com/haystackcraft
Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation
agent benchmark context-engineering deep-research llm long-context rag retrieval
Last synced: 10 Oct 2025