realMoana

realMoana's Stars

• zjukg/KG-LLM-Papers

  [Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

  1.7k131

• cheahjs/free-llm-api-resources

  A list of free LLM inference resources accessible via API.

  Language:Python2k173

• XiaoxinHe/Awesome-Graph-LLM

  A collection of AWESOME things about Graph-Related LLMs.

  2k143

• lvkd84/GraphFP

  Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)

  Language:Python18

• PKU-ML/ArchitectureMattersGCL

  Official code for NeurIPS 2023 "Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning"

  Language:Python81

• wuyucheng2002/CTAug

  Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"

  Language:Python131

• susheels/adgcl

  Adversarial Graph Augmentation to Improve Graph Contrastive Learning

  Language:Python885

• pujacomputes/datapropsgraphSSL

  Contains code for "Analyzing Data-Centric Properties for Contrastive Learning on Graphs"

  Language:Jupyter Notebook8

• whyisyoung/CADE

  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications

  Language:Python13534

• KingGugu/DA-CL-4Rec

  The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

  37831

• asheeshcric/awesome-contrastive-self-supervised-learning

  A comprehensive list of awesome contrastive self-supervised learning papers.

  1.3k127

• Evavic44/portfolio-ideas

  A curation of awesome portfolio website ideas for developers and designers to draw inspiration from. Raise a pull request to add more. 💜

  Language:Markdown4.9k733

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML12.3k11.6k

• colab-nyuad/XGExplainer

  Language:Python32

• JiaxuanYou/graph-generation

  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

  Language:Python714145

• BorgwardtLab/ggme

  Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions" https://openreview.net/forum?id=tBtoZYKd9n

  Language:Python14

• PyGCL/PyGCL

  PyGCL: A PyTorch Library for Graph Contrastive Learning

  Language:Python92396

• Shen-Lab/GraphCL

  [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

  Language:Python576105

• Graph-and-Geometric-Learning/D4Explainer

  Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"

  Language:Python20

• ispamm/MATE

  MetA-Train to Explain

  Language:Python174

• Wuyxin/ReFine

  Official code of "Towards Multi-Grained Explainability for Graph Neural Networks" (NeurIPS 2021) + Pytorch Implementation of recent attribution methods for GNNs

  Language:Jupyter Notebook688

• cvignac/DiGress

  code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

  Language:Python39983

• lrjconan/GRAN

  Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

  Language:C++47697

• Cather-Chen/D4Explainer

  Language:Python72

• wanyu-lin/ICML2021-Gem

  Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."

  Language:Jupyter Notebook659

• mims-harvard/GraphXAI

  GraphXAI: Resource to support the development and evaluation of GNN explainers

  Language:Python18330

• mertkosan/GCFExplainer

  Global Counterfactual Explainer for Graph Neural Networks

  Language:Python174

• flyingdoog/awesome-graph-explainability-papers

  Papers about explainability of GNNs

  69868

• divelab/DIG

  A library for graph deep learning research

  Language:Python1.9k284

• vunhatminh/PGMExplainer

  Generating PGM Explanation for GNN predictions

  Language:Jupyter Notebook7416