When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding
and Reasoning

When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning

16 December 2023

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Papers citing "When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning"

11 / 11 papers shown

Title
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 761 3,121 0 04 Jun 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 98 1,937 0 27 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 144 1,513 0 30 Jan 2018
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li Zhichao Han Xiao-Ming Wu GNN SSL 189 2,826 0 22 Jan 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,164 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,247 0 07 Jun 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 810 3,287 0 24 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 191 10,876 0 03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 350 7,655 0 30 Jun 2016
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 220 4,882 0 21 Dec 2013