07:30

Part 92: rethinking message passing for algorithmic alignment on graphs

10:54

Part 56: Leviticus 21-22

11:47

Part 91: maximizing influence with graph neural networks

14:40

Part 90: learning graph representations for influence maximization

12:30

Part 89: transforming pagerank into an infinite depth graph neural network

06:33

Part 88: word-graph2vec: An efficient word embedding approach on word cooccurence graph using ran...

10:16

Part 87: representation learning on heterostructures via heterogeneous anonymous walks

06:26

Part 86: revisiting random walks for learning on graphs

07:57

Part 85 : anonymous walk embeddings

12:12

Part 55: Leviticus 19-20

10:02

Part 84: graph neural networks with maximal independent set based pooling: mitigating...

11:27

Part 83: Liftpool: lifting-based graph pooling for hierarchical graph representation learning

13:31

Part 82: maximum independent set: self training through dynamic programming

07:45

Part 81: beyond GNNs: an efficient architecture for graph problems

14:44

Part 80: role based graph embeddings

08:56

Part 79: self-repellent random walks on general graphs-achieving minimal sampling variances via...

08:25

Part 54: Leviticus 17-18

12:02

Part 78: representation learning on graphs with jumping knowledge networks

10:21

Part 77: infoGCL: information-aware graph contrastive learning

10:51

Part 76: deepwalk: online learning of social representations

07:08

Part 75: higher order organization of complex networks

11:15

Part 74: a broader picture of random walk based graph embedding

06:21

Part 73: neural stochastic models & scalable community based graph learning

14:31

Part 53: Leviticus 15-16

07:35

Part 72: featured graph coarsening with similarity guarantees

11:52

Part 71: probabilistic graph rewiring via virtual nodes

04:56

Part 70: going deeper into permutation sensitive graph neural networks

09:19

Part 69: Non-convolutional graph neural networks

14:45

Part 67: RAW-GNN: random walk aggregation based graph neural network

07:46

Part 66: agent based graph neural networks

21:36

Part 52: Leviticus 13-14

14:34

Part 65: Path integral based convolution and pooling for graph neural networks.

06:30

Part 64: ABDPool: Attention based differentiable Pooling

12:02

Part 63: SSHPool: the separated subgraph based hierarchical pooling

15:30

Part 62: Random walk conformer: learning graph representation from long and short range

09:10

Part 61: The power of recursion in graph neural networks for counting substructures

14:15

Part 60: Learning long range dependencies on graphs via random walks

09:50

Part 51: Leviticus 11-12

13:31

Part 58: sparse structure learning via graph neural networks for inductive document classification

12:13

Part 57: Towards robust graph incremental learning on evolving graphs

10:34

Part 56: PANDA: expanded width-aware message passing beyond rewiring

09:52

Part 55: edge contraction pooling for graph neural networks

10:12

Part 54: graph neural network pooling by edge cut

10:06

Part 53: modularity-based sparse soft graph clustering

09:42

Part 50: Leviticus 9-10

17:30

Part 52: towards dynamic message passing on graphs

13:48

Part 51: GwAC: GNNs with asynchronous communication

10:06

Part 50: fast graph attention networks using effective resistance based graph sparsification

15:58

Part 49: differentiable cluster graph neural network

13:47

Part 48: tackling oversmoothing in GNN via graph sparsification

10:10

Part 47: graph clustering with graph neural networks

14:21

Part 49: Leviticus 7-8

14:59

Part 46: hierarchical graph pooling with structure learning

11:53

Part 45: fast and effective GNN training with linearized random spanning trees

11:09

Part 44: ASAP: adaptive structure aware pooling for learning hierarchical graph representation

08:10

Part 43: edge based graph component pooling

12:58

Part 42: grouping-matrix based graph pooling with adaptive number of clusters

06:16

Part 41: graph U-Nets

11:35

Part 48: Leviticus 5-6

09:11

Part 40: towards sparse hierarchical graph classifiers