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GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large
  Language Models
v1v2v3v4v5 (latest)

GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models

11 October 2023
Ruotong Liao
Xu Jia
Yangzhe Li
Yunpu Ma
Volker Tresp
    AI4TS
ArXiv (abs)PDFHTMLGithub (48★)

Papers citing "GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models"

25 / 25 papers shown
Title
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
Zhongwu Chen
Chengjin Xu
Dingmin Wang
Zhen Huang
Yong Dou
Xuhui Jiang
Jian Guo
RALM
439
3
0
15 Oct 2024
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting
He Chang
Chenchen Ye
Zhulin Tao
Jie Wu
Zhengmao Yang
Yunshan Ma
Xianglin Huang
Tat-Seng Chua
AI4TS
76
2
0
16 Jul 2024
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MHALM
400
12,076
0
18 Jul 2023
LIMA: Less Is More for Alignment
LIMA: Less Is More for Alignment
Chunting Zhou
Pengfei Liu
Puxin Xu
Srini Iyer
Jiao Sun
...
Susan Zhang
Gargi Ghosh
M. Lewis
Luke Zettlemoyer
Omer Levy
ALM
110
852
0
18 May 2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context
  Learning
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
Dong-Ho Lee
Kian Ahrabian
Woojeong Jin
Fred Morstatter
Jay Pujara
75
43
0
17 May 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
1.5K
13,472
0
27 Feb 2023
Augmented Language Models: a Survey
Augmented Language Models: a Survey
Grégoire Mialon
Roberto Dessì
Maria Lomeli
Christoforos Nalmpantis
Ramakanth Pasunuru
...
Jane Dwivedi-Yu
Asli Celikyilmaz
Edouard Grave
Yann LeCun
Thomas Scialom
LRMKELM
88
391
0
15 Feb 2023
Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Concept-Aware Information
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information
Zifeng Ding
Jingpei Wu
Bailan He
Yunpu Ma
Zhen Han
Volker Tresp
62
15
0
15 Nov 2022
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELMReLMLRM
288
2,518
0
15 Jun 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLMLRM
532
4,077
0
24 May 2022
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation
DialoKG: Knowledge-Structure Aware Task-Oriented Dialogue Generation
Md. Rony
Ricardo Usbeck
Jens Lehmann
49
37
0
19 Apr 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
Sid Black
Stella Biderman
Eric Hallahan
Quentin G. Anthony
Leo Gao
...
Shivanshu Purohit
Laria Reynolds
J. Tow
Benqi Wang
Samuel Weinbach
180
836
0
14 Apr 2022
Training Compute-Optimal Large Language Models
Training Compute-Optimal Large Language Models
Jordan Hoffmann
Sebastian Borgeaud
A. Mensch
Elena Buchatskaya
Trevor Cai
...
Karen Simonyan
Erich Elsen
Jack W. Rae
Oriol Vinyals
Laurent Sifre
AI4TS
208
1,987
0
29 Mar 2022
TLogic: Temporal Logical Rules for Explainable Link Forecasting on
  Temporal Knowledge Graphs
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Yushan Liu
Yunpu Ma
Marcel Hildebrandt
Mitchell Joblin
Volker Tresp
82
135
0
15 Dec 2021
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph
  Forecasting
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting
Haohai Sun
Jialu Zhong
Yunpu Ma
Zhen Han
Kun He
AI4TS
112
159
0
09 Sep 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
493
10,526
0
17 Jun 2021
Temporal Knowledge Graph Reasoning Based on Evolutional Representation
  Learning
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning
Zixuan Li
Xiaolong Jin
Wei Li
Saiping Guan
Jiafeng Guo
Huawei Shen
Yuanzhuo Wang
Xueqi Cheng
66
269
0
21 Apr 2021
Temporal Knowledge Graph Forecasting with Neural ODE
Temporal Knowledge Graph Forecasting with Neural ODE
Zhen Han
Zifeng Ding
Yunpu Ma
Yujia Gu
Volker Tresp
AI4TSAI4CE
62
118
0
13 Jan 2021
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for
  Temporal Knowledge Graph Completion
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion
Zhen Han
Yunpu Ma
Peng Chen
Volker Tresp
74
78
0
08 Nov 2020
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
488
20,342
0
23 Oct 2019
Diachronic Embedding for Temporal Knowledge Graph Completion
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel
Seyed Mehran Kazemi
Marcus A. Brubaker
Pascal Poupart
82
354
0
06 Jul 2019
Embedding Models for Episodic Knowledge Graphs
Embedding Models for Episodic Knowledge Graphs
Yunpu Ma
Volker Tresp
Erik A. Daxberger
KELM
79
119
0
30 Jun 2018
Learning with Memory Embeddings
Learning with Memory Embeddings
Volker Tresp
Cristóbal Esteban
Yinchong Yang
S. Baier
Denis Krompass
64
31
0
25 Nov 2015
A Review of Relational Machine Learning for Knowledge Graphs
A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel
Kevin Patrick Murphy
Volker Tresp
E. Gabrilovich
189
1,580
0
02 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1