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GOFA: A Generative One-For-All Model for Joint Graph Language Modeling

GOFA: A Generative One-For-All Model for Joint Graph Language Modeling

12 July 2024
Lecheng Kong
Jiarui Feng
Hao Liu
Chengsong Huang
Jiaxin Huang
Yixin Chen
Muhan Zhang
    AI4CE
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Papers citing "GOFA: A Generative One-For-All Model for Joint Graph Language Modeling"

50 / 59 papers shown
Title
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
G1: Teaching LLMs to Reason on Graphs with Reinforcement Learning
Xiaojun Guo
Ang Li
Yifei Wang
Stefanie Jegelka
Yisen Wang
OffRL
ReLM
LRM
64
0
0
24 May 2025
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty
When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty
Yanzhe Wen
Miao Hu
Qi Zhang
Zhu Lei
Guang Zeng
Rong-Hua Li
Guoren Wang
103
0
0
20 May 2025
OpenGraph: Towards Open Graph Foundation Models
OpenGraph: Towards Open Graph Foundation Models
Lianghao Xia
Ben Kao
Chao Huang
AI4CE
83
38
0
02 Mar 2024
HiGPT: Heterogeneous Graph Language Model
HiGPT: Heterogeneous Graph Language Model
Jiabin Tang
Yuhao Yang
Wei Wei
Lei Shi
Long Xia
Dawei Yin
Chao Huang
87
22
0
25 Feb 2024
Can GNN be Good Adapter for LLMs?
Can GNN be Good Adapter for LLMs?
Xuanwen Huang
Kaiqiao Han
Yang Yang
Dezheng Bao
Quanjin Tao
Ziwei Chai
Qi Zhu
AI4CE
54
41
0
20 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
Yuhan Li
Peisong Wang
Zhixun Li
Jeffrey Xu Yu
Jia Li
52
41
0
17 Feb 2024
LLaGA: Large Language and Graph Assistant
LLaGA: Large Language and Graph Assistant
Runjin Chen
Tong Zhao
Ajay Jaiswal
Neil Shah
Zhangyang Wang
57
61
0
13 Feb 2024
G-Retriever: Retrieval-Augmented Generation for Textual Graph
  Understanding and Question Answering
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
Xiaoxin He
Yijun Tian
Yifei Sun
Nitesh Chawla
T. Laurent
Yann LeCun
Xavier Bresson
Bryan Hooi
RALM
128
79
0
12 Feb 2024
GraphTranslator: Aligning Graph Model to Large Language Model for
  Open-ended Tasks
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks
Mengmei Zhang
Mingwei Sun
Peng Wang
Shen Fan
Yanhu Mo
Xiaoxiao Xu
Hong Liu
Cheng Yang
Chuan Shi
56
39
0
11 Feb 2024
Graph Language Models
Graph Language Models
Moritz Plenz
Anette Frank
KELM
AI4CE
60
7
0
13 Jan 2024
Large Language Models on Graphs: A Comprehensive Survey
Large Language Models on Graphs: A Comprehensive Survey
Bowen Jin
Gang Liu
Chi Han
Meng Jiang
Heng Ji
Jiawei Han
AI4CE
79
149
0
05 Dec 2023
Sequential Modeling Enables Scalable Learning for Large Vision Models
Sequential Modeling Enables Scalable Learning for Large Vision Models
Yutong Bai
Xinyang Geng
K. Mangalam
Amir Bar
Alan Yuille
Trevor Darrell
Jitendra Malik
Alexei A. Efros
MLLM
VLM
64
158
0
01 Dec 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and
  Downstream Tasks on Graphs
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs
Xingtong Yu
Zhenghao Liu
Yuan Fang
Zemin Liu
Sihong Chen
Xinming Zhang
79
28
0
26 Nov 2023
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
Lecheng Kong
Jiarui Feng
Hao Liu
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
47
11
0
29 Oct 2023
Towards Foundation Models for Knowledge Graph Reasoning
Towards Foundation Models for Knowledge Graph Reasoning
Mikhail Galkin
Xinyu Yuan
Hesham Mostafa
Jian Tang
Zhaocheng Zhu
VLM
ReLM
49
38
0
06 Oct 2023
Talk like a Graph: Encoding Graphs for Large Language Models
Talk like a Graph: Encoding Graphs for Large Language Models
Bahare Fatemi
Jonathan J. Halcrow
Bryan Perozzi
AI4CE
49
102
0
06 Oct 2023
One for All: Towards Training One Graph Model for All Classification
  Tasks
One for All: Towards Training One Graph Model for All Classification Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Ningyue Liang
Dacheng Tao
Yixin Chen
Muhan Zhang
AI4CE
55
120
0
29 Sep 2023
Graph Meets LLMs: Towards Large Graph Models
Graph Meets LLMs: Towards Large Graph Models
Ziwei Zhang
Haoyang Li
Zeyang Zhang
Yi Qin
Xin Eric Wang
Wenwu Zhu
AI4CE
27
22
0
28 Aug 2023
Language is All a Graph Needs
Language is All a Graph Needs
Ruosong Ye
Caiqi Zhang
Runhui Wang
Shuyuan Xu
Yongfeng Zhang
AI4CE
93
156
0
14 Aug 2023
In-context Autoencoder for Context Compression in a Large Language Model
In-context Autoencoder for Context Compression in a Large Language Model
Tao Ge
Jing Hu
Lei Wang
Xun Wang
Si-Qing Chen
Furu Wei
RALM
66
70
0
13 Jul 2023
All in One: Multi-task Prompting for Graph Neural Networks
All in One: Multi-task Prompting for Graph Neural Networks
Xiangguo Sun
Hongtao Cheng
Jia Li
Bo Liu
Jihong Guan
LLMAG
AI4CE
64
137
0
04 Jul 2023
Extending the Design Space of Graph Neural Networks by Rethinking
  Folklore Weisfeiler-Lehman
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman
Jiarui Feng
Lecheng Kong
Hao Liu
Dacheng Tao
Fuhai Li
Muhan Zhang
Yixin Chen
82
10
0
05 Jun 2023
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video
  Understanding
Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Hang Zhang
Xin Li
Lidong Bing
MLLM
124
1,006
0
05 Jun 2023
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced
  Text-Attributed Graph Representation Learning
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Xiaoxin He
Xavier Bresson
T. Laurent
Adam Perold
Yann LeCun
Bryan Hooi
74
78
0
31 May 2023
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule
  Zero-Shot Learning
GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning
Haiteng Zhao
Shengchao Liu
Chang Ma
Hannan Xu
Jie Fu
Zhihong Deng
Lingpeng Kong
Qi Liu
49
62
0
28 May 2023
Enhancing Chat Language Models by Scaling High-quality Instructional
  Conversations
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Ning Ding
Yulin Chen
Bokai Xu
Yujia Qin
Zhi Zheng
Shengding Hu
Zhiyuan Liu
Maosong Sun
Bowen Zhou
ALM
91
511
0
23 May 2023
PRODIGY: Enabling In-context Learning Over Graphs
PRODIGY: Enabling In-context Learning Over Graphs
Qian Huang
Hongyu Ren
Peng Chen
Gregor Krvzmanc
D. Zeng
Percy Liang
J. Leskovec
85
71
0
21 May 2023
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner
Zhenyu Hou
Yufei He
Yukuo Cen
Xiao Liu
Yuxiao Dong
Evgeny Kharlamov
Jie Tang
SSL
42
110
0
10 Apr 2023
Segment Anything
Segment Anything
A. Kirillov
Eric Mintun
Nikhila Ravi
Hanzi Mao
Chloe Rolland
...
Spencer Whitehead
Alexander C. Berg
Wan-Yen Lo
Piotr Dollár
Ross B. Girshick
MLLM
VLM
302
7,047
0
05 Apr 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural
  Networks
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
Zemin Liu
Xingtong Yu
Yuan Fang
Xinming Zhang
LLMAG
AI4CE
69
139
0
16 Feb 2023
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph
  Weisfeiler-Lehman Tests
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
Bohang Zhang
Guhao Feng
Yiheng Du
Di He
Liwei Wang
21
56
0
14 Feb 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
391
4,465
0
30 Jan 2023
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
Bohang Zhang
Shengjie Luo
Liwei Wang
Di He
29
121
0
23 Jan 2023
Galactica: A Large Language Model for Science
Galactica: A Large Language Model for Science
Ross Taylor
Marcin Kardas
Guillem Cucurull
Thomas Scialom
Anthony Hartshorn
Elvis Saravia
Andrew Poulton
Viktor Kerkez
Robert Stojnic
ELM
ReLM
95
754
0
16 Nov 2022
Boosting the Cycle Counting Power of Graph Neural Networks with
  I$^2$-GNNs
Boosting the Cycle Counting Power of Graph Neural Networks with I2^22-GNNs
Yinan Huang
Xingang Peng
Jianzhu Ma
Muhan Zhang
103
48
0
22 Oct 2022
A Molecular Multimodal Foundation Model Associating Molecule Graphs with
  Natural Language
A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language
Fuchun Sun
Dazhao Du
Zhao-Qing Yang
Yujie Zhou
Jiangmeng Li
Anyi Rao
Haoran Sun
Zhiwu Lu
Ji-Rong Wen
108
111
0
12 Sep 2022
Task-Adaptive Few-shot Node Classification
Task-Adaptive Few-shot Node Classification
Song Wang
Kaize Ding
Chuxu Zhang
Chen Chen
Jundong Li
OffRL
70
49
0
23 Jun 2022
How Powerful are K-hop Message Passing Graph Neural Networks
How Powerful are K-hop Message Passing Graph Neural Networks
Jiarui Feng
Yixin Chen
Fuhai Li
Anindya Sarkar
Muhan Zhang
33
100
0
26 May 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
302
3,458
0
29 Apr 2022
Nested Graph Neural Networks
Nested Graph Neural Networks
Muhan Zhang
Pan Li
66
166
0
25 Oct 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
OffRL
AI4TS
AI4CE
ALM
AIMat
312
10,099
0
17 Jun 2021
GraphFormers: GNN-nested Transformers for Representation Learning on
  Textual Graph
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
Junhan Yang
Zheng Liu
Shitao Xiao
Chaozhuo Li
Defu Lian
Sanjay Agrawal
Amit Singh
Guangzhong Sun
Xing Xie
AI4CE
31
153
0
06 May 2021
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs
Weihua Hu
Matthias Fey
Hongyu Ren
Maho Nakata
Yuxiao Dong
J. Leskovec
AI4CE
57
403
0
17 Mar 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Feng Xia
Philip S. Yu
SSL
72
555
0
27 Feb 2021
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node
  Representation Learning
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang
Pan Li
Yinglong Xia
Kai Wang
Long Jin
57
188
0
30 Oct 2020
Masked Label Prediction: Unified Message Passing Model for
  Semi-Supervised Classification
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification
Yunsheng Shi
Zhengjie Huang
Shikun Feng
Hui Zhong
Wenjin Wang
Yu Sun
AI4CE
65
770
0
08 Sep 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
546
41,106
0
28 May 2020
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Samyam Rajbhandari
Jeff Rasley
Olatunji Ruwase
Yuxiong He
ALM
AI4CE
77
852
0
04 Oct 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph
  Convolution
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution
Quanyu Dai
Xiao-Ming Wu
Jiaren Xiao
Xiao Shen
Dan Wang
OOD
50
90
0
04 Sep 2019
Universal Invariant and Equivariant Graph Neural Networks
Universal Invariant and Equivariant Graph Neural Networks
Nicolas Keriven
Gabriel Peyré
136
290
0
13 May 2019
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