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PRODIGY: Enabling In-context Learning Over Graphs

PRODIGY: Enabling In-context Learning Over Graphs

21 May 2023
Qian Huang
Hongyu Ren
Peng Chen
Gregor Krvzmanc
D. Zeng
Percy Liang
J. Leskovec
ArXivPDFHTML

Papers citing "PRODIGY: Enabling In-context Learning Over Graphs"

12 / 12 papers shown
Title
PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models
PyTDC: A multimodal machine learning training, evaluation, and inference platform for biomedical foundation models
Alejandro Velez-Arce
Marinka Zitnik
24
0
0
08 May 2025
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning
Rui Lv
Z. Zhang
Kai Zhang
Qi Liu
Weibo Gao
J. H. Liu
Jiaxia Yan
Linan Yue
Fangzhou Yao
113
0
0
04 May 2025
GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models
GLaMoR: Consistency Checking of OWL Ontologies using Graph Language Models
Justin Mücke
A. Scherp
101
0
0
26 Apr 2025
DP-GPL: Differentially Private Graph Prompt Learning
DP-GPL: Differentially Private Graph Prompt Learning
Jing Xu
Franziska Boenisch
Iyiola Emmanuel Olatunji
Adam Dziedzic
AAML
45
0
0
13 Mar 2025
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Exploring Graph Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
Y. Wang
Xinnan Dai
Wenqi Fan
Yao Ma
67
1
0
26 Feb 2025
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Towards Graph Foundation Models: A Study on the Generalization of Positional and Structural Encodings
Billy Joe Franks
Moshe Eliasof
Semih Cantürk
Guy Wolf
Carola-Bibiane Schönlieb
Sophie Fellenz
Marius Kloft
AI4CE
76
0
0
10 Dec 2024
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
Kai Wang
Siqiang Luo
Caihua Shan
Yifei Shen
30
1
0
16 Oct 2024
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
Zhengyu Hu
Yichuan Li
Zhengyu Chen
J. Wang
Han Liu
Kyumin Lee
Kaize Ding
GNN
143
1
0
09 Oct 2024
Krait: A Backdoor Attack Against Graph Prompt Tuning
Krait: A Backdoor Attack Against Graph Prompt Tuning
Ying Song
Rita Singh
Balaji Palanisamy
AAML
48
0
0
18 Jul 2024
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
AI4CE
77
6
0
12 Jul 2024
UNITS: A Unified Multi-Task Time Series Model
UNITS: A Unified Multi-Task Time Series Model
Shanghua Gao
Teddy Koker
Owen Queen
Thomas Hartvigsen
Theodoros Tsiligkaridis
Marinka Zitnik
AI4TS
36
15
0
29 Feb 2024
Universal Link Predictor By In-Context Learning on Graphs
Universal Link Predictor By In-Context Learning on Graphs
Kaiwen Dong
Haitao Mao
Zhichun Guo
Nitesh V. Chawla
21
4
0
12 Feb 2024
1