conftrace_

graph isomorphism

47 papers

Explore in graph

Also known as

GI

Co-occurring keywords

graph neural network (3962) message passing (579) graph classification (212) weisfeiler-lehman test (32) graph kernel (67) representation learning (6206) node classification (482) weisfeiler-leman algorithm (9) graph matching (209) node representation (107)

Papers

Identity-aware Graph Neural Networks AAAI 2021
Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance IJCNLP 2021
Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance ACL 2021
The Surprising Power of Graph Neural Networks with Random Node Initialization IJCAI 2021
The Power of the Weisfeiler-Leman Algorithm for Machine Learning with Graphs IJCAI 2021
Impossibility of Partial Recovery in the Graph Alignment Problem COLT 2021
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020
Some Languages Seem Easier to Parse Because Their Treebanks Leak EMNLP 2020
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020
How hard is to distinguish graphs with graph neural networks? NIPS 2020
Principal Neighbourhood Aggregation for Graph Nets NIPS 2020
Universal Function Approximation on Graphs NIPS 2020
Graph Random Neural Features for Distance-Preserving Graph Representations ICML 2020
A Novel Higher-order Weisfeiler-Lehman Graph Convolution ACML 2020
On the equivalence between graph isomorphism testing and function approximation with GNNs NIPS 2019
Deanonymizing Social Networks Using Structural Information IJCAI 2019
(Nearly) Efficient Algorithms for the Graph Matching Problem on Correlated Random Graphs NIPS 2019
Provably Powerful Graph Networks NIPS 2019
Weisfeiler and Leman Go Neural: Higher-Order Graph Neural Networks AAAI 2019
Global graph kernels using geometric embeddings ICML 2014
Weisfeiler-Lehman Graph Kernels JMLR 2011
Fast subtree kernels on graphs NIPS 2009