TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation

3 October 2022

Papers citing "TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation"

24 / 24 papers shown

Title
Heterogeneous Graph Contrastive Multi-view Learning Zehong Wang Qi Li Donghua Yu Xiaolong Han Xiaohong Gao Shigen Shen 65 32 0 01 Oct 2022
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer Ziwei Fan Zhiwei Liu Jiawei Zhang Yun Xiong Lei Zheng Philip S. Yu 55 191 0 14 Aug 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 81 240 0 14 Jun 2021
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs Li Sun Zhongbao Zhang Jiawei Zhang Feiyang Wang Hao Peng Sen Su Philip S. Yu BDL 50 73 0 06 Apr 2021
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks Yanbang Wang Yen-Yu Chang Yunyu Liu J. Leskovec Pan Li CML AI4TS 97 237 0 15 Jan 2021
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 81 140 0 23 Nov 2020
Temporal Graph Networks for Deep Learning on Dynamic Graphs Emanuele Rossi B. Chamberlain Fabrizio Frasca D. Eynard Federico Monti M. Bronstein AI4CE 159 643 0 18 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 183 442 0 13 Jun 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 87 623 0 19 Feb 2020
Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks Srijan Kumar Xikun Zhang J. Leskovec AI4TS 68 732 0 03 Aug 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing Sami Abu-El-Haija Bryan Perozzi Amol Kapoor N. Alipourfard Kristina Lerman Hrayr Harutyunyan Greg Ver Steeg Aram Galstyan GNN 86 910 0 30 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 117 1,346 0 07 Apr 2019
Streaming Graph Neural Networks Yao Ma Ziyi Guo Zhaochun Ren Eric Zhao Jiliang Tang Dawei Yin GNN 67 238 0 24 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 189 1,634 0 04 Oct 2018
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 78 1,371 0 25 Sep 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 454 20,124 0 30 Oct 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 472 15,218 0 07 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 580 7,441 0 04 Apr 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 140 3,584 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 597 28,999 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 186 10,863 0 03 Jul 2016
LINE: Large-scale Information Network Embedding Jian Tang Meng Qu Mingzhe Wang Ming Zhang Jun Yan Qiaozhu Mei GNN 138 5,334 0 12 Mar 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.0K 23,338 0 03 Jun 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 252 9,779 0 26 Mar 2014