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Aliciaa-svg's Stars

• jwzhanggy/Graph-Bert

  Source code of Graph-Bert

  Language:Python47284

• wehos/awesome-graph-transformer

  Papers about graph transformers.

  76968

• songlab-cal/tape

  Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

  Language:Python652129

• YuanchenBei/Awesome-Pretraining-for-Graph-Neural-Networks

  A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).

  1639

• microsoft/protein-sequence-models

  Language:Python22628

• xianyuco/SS-GNN

  Language:Python205

• amitness/colab-connect

  Connect to Google Colab VM from your local VSCode

  Language:Python24536

• tianshilu/pMTnet

  Deep Learning the T Cell Receptor Binding Specificity of Neoantigen

  Language:Python7620

• KimMeen/Time-LLM

  [ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

  Language:Python1.3k218

• csuhan/OneLLM

  [CVPR 2024] OneLLM: One Framework to Align All Modalities with Language

  Language:Python56330

• invictus717/MetaTransformer

  Meta-Transformer for Unified Multimodal Learning

  Language:Python1.5k115

• RunpeiDong/DreamLLM

  [ICLR 2024 Spotlight] DreamLLM: Synergistic Multimodal Comprehension and Creation

  Language:Python3825

• xiyuanzh/awesome-llm-time-series

  tracking papers, datasets, and models of "large language model (LLM) for time series"

  27014

• Princeton-SysML/Jailbreak_LLM

  Language:Jupyter Notebook14414

• arobey1/smooth-llm

  Language:Python6310

• abc03570128/Jailbreaking-Attack-against-Multimodal-Large-Language-Model

  Language:Python324

• isXinLiu/MM-SafetyBench

  Accepted by ECCV 2024

  Language:Python611

• zjunlp/Low-resource-KEPapers

  A Paper List of Low-resource Information Extraction

  11410

• BradyFU/Awesome-Multimodal-Large-Language-Models

  :sparkles::sparkles:Latest Advances on Multimodal Large Language Models

  12k768

• amazon-science/multimodal-robustness

  9

• snap-stanford/conformalized-gnn

  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)

  Language:Python646

• pygod-team/pygod

  A Python Library for Graph Outlier Detection (Anomaly Detection)

  Language:Python1.3k127

• danielzuegner/nettack

  Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

  Language:Python21755

• adbroido/SFAnalysis

  Language:Jupyter Notebook4816

• mrong0121/585-Database

  CSCI 585 Homework

  Language:HTML8

• AaronYang2333/CSCI_570

  USC :v: 2021 Spring CSCI 570 (Analysis of Algorithms) 算法分析 Score: :eight::five:

  Language:HTML11330

• snap-stanford/ogb

  Benchmark datasets, data loaders, and evaluators for graph machine learning

  Language:Python1.9k397

• soroushzargar/DAPS

  Implementations of methods proposed in the paper "Conformal Prediction Sets for Graph Neural Networks"

  Language:Jupyter Notebook123

• zxj32/uncertainty-GNN

  Uncertainty Aware Semi-Supervised Learning on Graph Data

  Language:Python399

• CongWeilin/GraphMixer

  Language:Python947