Graph Learning Task

Graph learning tasks focus on extracting meaningful information from graph-structured data, aiming to learn representations of nodes, edges, or the entire graph for various downstream applications like node classification and link prediction. Current research emphasizes developing more expressive and efficient models, including advancements in Graph Neural Networks (GNNs), Graph Transformers, and the integration of Large Language Models (LLMs) to leverage both structural and semantic information. These efforts are driven by the need for improved generalization, robustness to noise and incomplete data, and enhanced interpretability, ultimately impacting diverse fields such as recommendation systems, traffic control, and knowledge graph reasoning.

Papers

February 14, 2024

SimMLP: Training MLPs on Graphs without Supervision
Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
Graph Neural Network Graph Drawing Graph Learning Task Multi Layer Perceptron Large Scale Graph Datasets Graph Inference

January 18, 2024

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance Sparse Information Aggregation
Ruizhe Zhang, Xinke Jiang, Yuchen Fang, Jiayuan Luo, Yongxin Xu, Yichen Zhu, Xu Chu, Junfeng Zhao, Yasha Wang
Graph Neural Network Graph Learning Task Graph Filter Taylor Expansion

December 16, 2023

Learning graphs and simplicial complexes from data
Andrei Buciulea, Elvin Isufi, Geert Leus, Antonio G. Marques
Raw Data Graph Kernel Graph Learning Task Simplicial Complex Graph Topology Pairwise Interaction Vector Autoregression

December 11, 2023

Robust Graph Neural Network based on Graph Denoising
Victor M. Tenorio, Samuel Rey, Antonio G. Marques
Graph Neural Network Gene Level GNN Graph Learning Task Graph Filter Graph Signal Denoising

November 24, 2023

Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs
Shengyin Sun, Yuxiang Ren, Chen Ma, Xuecang Zhang
Large Language Model Graph Learning Task Text Attributed Graph

October 29, 2023

MAG-GNN: Reinforcement Learning Boosted Graph Neural Network
Lecheng Kong, Jiarui Feng, Hao Liu, Dacheng Tao, Yixin Chen, Muhan Zhang
Reinforcement Learning Graph Neural Network Graph Neural Graph Learning Task

October 23, 2023

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks
Yihong Ma, Ning Yan, Jiayu Li, Masood Mortazavi, Nitesh V. Chawla
Real Power Heterogeneous Graph Style PROMPT Heterogeneous Graph Neural Network Prompt Based Learning Graph Learning Task Semi Supervised Node Classification Heterogeneous Graph Learning

October 15, 2023

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs)
Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
Large Language Model Graph Neural Network Text Representation Graph Learning Task Text Attributed Graph

September 26, 2023

ALEX: Towards Effective Graph Transfer Learning with Noisy Labels
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
Graph Neural Network Noisy Label Node Representation Label Distribution Graph Learning Task Graph Transfer Learning

September 8, 2023

A Versatile Graph Learning Approach through LLM-based Agent
Lanning Wei, Huan Zhao, Xiaohan Zheng, Zhiqiang He, Quanming Yao
Real Power Graph Learning Autonomous Agent Real World Graph Graph Learning Task

August 22, 2023

How Expressive are Graph Neural Networks in Recommendation?
Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang
Graph Neural Network Effective Recommendation Recommendation Performance Graph Learning Task Graph Level Task Malicious Node

July 15, 2023

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
Jiaxing Zhang, Zhuomin Chen, Hao Mei, Longchao Da, Dongsheng Luo, Hua Wei
Graph Neural Network Regression Task GNN Model Explanation Generation Graph Learning Task GNN Explanation Graph Regression Regular Expression

May 29, 2023

Learning Strong Graph Neural Networks with Weak Information
Yixin Liu, Kaize Ding, Jianling Wang, Vincent Lee, Huan Liu, Shirui Pan
Graph Neural Network Long Range Graph Learning Task Limited Information Channel Convolutional Neural Network

May 26, 2023

May 10, 2023

Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering
Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi
Graph Representation Learning GNN Model Graph Learning Task Online Filtering Spectral Graph Convolution Graph Fourier Polynomial Filter

March 25, 2023

Topological Pooling on Graphs
Yuzhou Chen, Yulia R. Gel
Graph Drawing Graph Representation Learning Graph Learning Task Pooling Layer Topological Representation Image Pooling

March 20, 2023

February 13, 2023

Efficient Graph Laplacian Estimation by Proximal Newton
Yakov Medvedovsky, Eran Treister, Tirza Routtenberg
Graph Learning Task Markov Random Field Laplacian Related Constraint Sparsity Penalty