SongYYYY

SongYYYY's Stars

• yuzhimanhua/MAPLE

  The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study (WWW'23)

  Language:C++763

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.7k833

• CRIPAC-DIG/GRACE

  [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

  Language:Python30555

• GraphPKU/NeuralCommonNeighbor

  Language:Python396

• zjs123/DTGB

  Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs

  Language:Python132

• TUM-DAML/pprgo_pytorch

  PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)

  Language:Python12717

• HarryShomer/LPFormer

  Implementation of the KDD'24 paper "LPFormer: An Adaptive Graph Transformer for Link Prediction"

  Language:Python123

• kakaobrain/rq-vae-transformer

  The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

  Language:Jupyter Notebook76883

• YangLing0818/VQGraph

  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs

  Language:Python748

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

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

  1649

• zou-group/textgrad

  TextGrad: Automatic ''Differentiation'' via Text -- using large language models to backpropagate textual gradients.

  Language:Python1.6k136

• CurryTang/TSGFM

  Language:Python19

• snap-stanford/prodigy

  Language:Python767

• jwzhanggy/Graph-Bert

  Source code of Graph-Bert

  Language:Python47484

• LechengKong/OneForAll

  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

  Language:Python16622

• yuzhimanhua/Awesome-Scientific-Language-Models

  A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

  43625

• jessevig/bertviz

  BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

  Language:Python6.8k773

• alibaba/graph-gpt

  Graph Learning with Generative Pretrained Transformers

  Language:Python501

• yuanli2333/CKA-Centered-Kernel-Alignment

  Reproduce CKA: Similarity of Neural Network Representations Revisited

  Language:Python28233

• qitianwu/SGFormer

  The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

  Language:Python21117

• SitaoLuan/LLM4Graph

  15213

• qitianwu/NodeFormer

  The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

  Language:Jupyter Notebook28727

• jumxglhf/ParetoGNN

  Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization

  Language:Python361

• XiaoxinHe/tape_arxiv_2023

  Language:Python291

• VITA-Group/Large_Scale_GCN_Benchmarking

  This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Training: Benchmarking and Rethinking" in PyTorch.

  Language:Python598

• JHL-HUST/NAGphormer

  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs

  Language:Python10614

• divelab/GOOD

  GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

  Language:Python18119

• hzlihang99/NeurIPS2022-MAG240M

  Source code for NeurIPS2022-MAG240M Competition

  Language:Python2

• AndyJZhao/GLEM

  Language:Python11115

• CurryTang/Towards-graph-foundation-models

  732