Roiko97

Roiko97's Stars

• YiyanXu/DiffRec

  Diffusion Recommender Model

  Language:Python17623

• kayzliu/godm

  Data Augmentation for Supervised Graph Outlier Detection with Latent Diffusion Models

  Language:Python8

• NYUSHCS/GAugLLM

  Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)

  Language:Python101

• HKUDS/Awesome-LLM4Graph-Papers

  [KDD'2024 Survey+Tutorial] "LLM4Graph: A Survey of Large Language Models for Graphs"

  1937

• HKUDS/GraphGPT

  [SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

  Language:Python52139

• 6lyc/CDNMF

  Official implementation of our paper "Contrastive Deep Nonnegative Matrix Factorization for Community Detection", ICASSP 2024.

  Language:Python254

• navidsalahian/DANMF_CRFR

  Deep Autoencoder-like NMF with Contrastive Regularization and Feature Relationships preservation

  Language:Python165

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python36.4k4.5k

• ShiyinTan/CI-GCL

  Language:Python71

• MGitHubL/S2T

  Language:Python1

• sikunyang/VAETPP

  Language:Python1

• RuiZhang2016/Variational-Inference-for-SGP-Modulated-Hawkes-Process

  This repo contains a demo for the AAAI-20 publication "Variational Inference for Sparse Gaussian Process Modulated Hawkes Process"

  Language:Jupyter Notebook52

• WenZhihao666/TREND

  TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.

  Language:Python324

• MGitHubL/Chinese-Reading-Notes-of-Graph-Learning

  728

• HKUDS/OpenGraph

  "OpenGraph: Towards Open Graph Foundation Models"

  Language:Python20417

• FDUDSDE/CoPE

  Codes and data for CIKM 2021 paper "CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph"

  Language:Python63

• FDUDSDE/RDGSL

  Codes for CIKM'2023 Paper "RDGSL: Dynamic Graph Representation Learning with Structure Learning"

  Language:Python5

• simondelarue/dynGNN

  Representation and learning framework for dynamic graphs using Graph Neural Networks.

  Language:Python121

• Leo-Q-316/TDGNN

  Continuous-Time Link Prediction via Temporal Dependent Graph Neural Network

  Language:Python254

• doujiang-zheng/Graph-Learning-Reading-List

  Advances on machine learning of graphs, covering the reading list of recent top academic conferences.

  Language:Jupyter Notebook15216

• ckldan520/DDGCL

  code for "Self-supervised representation learning on dynamic graphs"

  Language:Python261

• Jeff20100601/GHNN_clean

  Language:Python306

• BUPT-GAMMA/HiD-Net

  Language:Python3

• ChenJY-Count/PolyGCL

  PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"

  Language:Python81

• 1221045504/DySubC

  The code of DySubC

  Language:Python3

• alge24/DyGNN

  Language:Python5017

• Zymrael/gde

  Neural Graph Differential Equations (Neural GDEs)

  Language:Jupyter Notebook18832

• twitter-research/graph-neural-pde

  Graph Neural PDEs

  Language:Jupyter Notebook31252

• urielsinger/tNodeEmbed

  tNodeEmbed

  Language:Python7519

• kunzhan/SCDGN

  ACM MM 2023: ISelf-contrastive graph diffusion network

  Language:Python13