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Diffusion-based Negative Sampling on Graphs for Link Prediction

Diffusion-based Negative Sampling on Graphs for Link Prediction

25 March 2024
Trung-Kien Nguyen
Yuan Fang
    DiffM
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Papers citing "Diffusion-based Negative Sampling on Graphs for Link Prediction"

15 / 15 papers shown
Title
Graph Diffusion Network for Drug-Gene Prediction
Graph Diffusion Network for Drug-Gene Prediction
Jiayang Wu
Wensheng Gan
Philip S. Yu
MedIm
99
0
0
13 Feb 2025
Diffusion-based Hierarchical Negative Sampling for Multimodal Knowledge Graph Completion
Guanglin Niu
Xiaowei Zhang
56
0
0
28 Jan 2025
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models
Shansan Gong
Mukai Li
Jiangtao Feng
Zhiyong Wu
Lingpeng Kong
79
325
0
17 Oct 2022
GLIDE: Towards Photorealistic Image Generation and Editing with
  Text-Guided Diffusion Models
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Alex Nichol
Prafulla Dhariwal
Aditya A. Ramesh
Pranav Shyam
Pamela Mishkin
Bob McGrew
Ilya Sutskever
Mark Chen
238
3,552
0
20 Dec 2021
Palette: Image-to-Image Diffusion Models
Palette: Image-to-Image Diffusion Models
Chitwan Saharia
William Chan
Huiwen Chang
Chris A. Lee
Jonathan Ho
Tim Salimans
David J. Fleet
Mohammad Norouzi
DiffM
VLM
441
1,617
0
10 Nov 2021
Cascaded Diffusion Models for High Fidelity Image Generation
Cascaded Diffusion Models for High Fidelity Image Generation
Jonathan Ho
Chitwan Saharia
William Chan
David J. Fleet
Mohammad Norouzi
Tim Salimans
120
1,196
0
30 May 2021
Improved Denoising Diffusion Probabilistic Models
Improved Denoising Diffusion Probabilistic Models
Alex Nichol
Prafulla Dhariwal
DiffM
184
3,621
0
18 Feb 2021
Simplify and Robustify Negative Sampling for Implicit Collaborative
  Filtering
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding
Yuhan Quan
Quanming Yao
Yong Li
Depeng Jin
33
100
0
07 Sep 2020
Improved Techniques for Training Score-Based Generative Models
Improved Techniques for Training Score-Based Generative Models
Yang Song
Stefano Ermon
DiffM
146
1,135
0
16 Jun 2020
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDa
DiffM
178
3,803
0
12 Jul 2019
Link Prediction Based on Graph Neural Networks
Link Prediction Based on Graph Neural Networks
Muhan Zhang
Yixin Chen
GNN
54
1,912
0
27 Feb 2018
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
Hongwei Wang
Jia Wang
Jialin Wang
Miao Zhao
Weinan Zhang
Fuzheng Zhang
Xing Xie
Minyi Guo
GNN
GAN
63
623
0
22 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
319
19,991
0
30 Oct 2017
Towards Principled Methods for Training Generative Adversarial Networks
Towards Principled Methods for Training Generative Adversarial Networks
Martín Arjovsky
M. Nault
GAN
74
2,102
0
17 Jan 2017
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
300
33,445
0
16 Oct 2013
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